[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-google-s-auto-diagnose-90-accurate-llm-test-failur-summary":3,"summaries-facets-categories":191,"summary-related-google-s-auto-diagnose-90-accurate-llm-test-failur-summary":4597},{"id":4,"title":5,"ai":6,"body":13,"categories":149,"created_at":150,"date_modified":150,"description":141,"extension":151,"faq":150,"featured":152,"kicker_label":150,"meta":153,"navigation":174,"path":175,"published_at":176,"question":150,"scraped_at":176,"seo":177,"sitemap":178,"source_id":179,"source_name":180,"source_type":181,"source_url":182,"stem":183,"tags":184,"thumbnail_url":150,"tldr":188,"tweet":150,"unknown_tags":189,"__hash__":190},"summaries\u002Fsummaries\u002Fgoogle-s-auto-diagnose-90-accurate-llm-test-failur-summary.md","Google's Auto-Diagnose: 90% Accurate LLM Test Failure Diagnosis",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",8531,2677,19109,0.00275385,{"type":14,"value":15,"toc":140},"minimark",[16,21,25,28,36,40,43,72,75,78,82,85,88,91,94,98,101,104,107,111],[17,18,20],"h2",{"id":19},"integration-test-failures-overwhelm-developers-with-log-chaos","Integration Test Failures Overwhelm Developers with Log Chaos",[22,23,24],"p",{},"Diagnosing integration test failures at Google is notoriously painful due to massive, unstructured logs from test drivers and distributed SUT components. A company-wide EngSat survey of 6,059 developers ranked it among the top five complaints. A follow-up Survey-2 with 116 developers confirmed integration failures occur less frequently than unit tests (monthly vs. daily\u002Fweekly) but take far longer to diagnose—often over an hour or a full day (Figure 1b). Median failing tests produce 16 log files and 2,801 lines, with means of 26 files and 11,058 lines in production. Developers start with high-level test driver logs showing generic errors like timeouts, then manually hunt across heterogeneous SUT logs (dynamically named by component, split by levels like .info\u002F.error). Low signal-to-noise buries root causes amid irrelevant warnings, creating high cognitive load. Common workarounds: ping experienced colleagues or infra teams, which doesn't scale.",[22,26,27],{},"Why integration over unit tests? Unit tests run early\u002Foften in isolation; integration tests hit later, testing multi-component interactions in hermetic environments (no external deps). A survey of 239 teams showed functional hermetic tests as most common (Figure 2). Failures surface as Critique findings during code review, blocking submission until fixed (Figure 3). Traditional automated diagnosis tools (statistical debugging, spectrum analysis) target unit-level; integration's distributed logs and setups remain unsolved.",[22,29,30,31,35],{},"\"Diagnosing integration test failures was identified as one of the top five most frequent complaints in a company-wide survey ",[32,33,34],"span",{},"5"," of 6,059 developers.\" (From Section 2.1: Quantifies the scale of developer frustration, justifying LLM focus.)",[17,37,39],{"id":38},"auto-diagnose-leverages-llm-strengths-for-log-synthesis","Auto-Diagnose Leverages LLM Strengths for Log Synthesis",[22,41,42],{},"Auto-Diagnose automates diagnosis by feeding all INFO+ logs (test driver + SUT components) into Gemini 2.5 Flash. On failure notification via pub\u002Fsub, logs from data centers\u002Fprocesses\u002Fthreads are timestamp-sorted into one stream (e.g., Listing 1: server-a.info\u002Ferror lines). A meticulously engineered prompt (Figure 7) guides step-by-step reasoning: scan log sections, correlate events, identify root cause, extract top relevant lines, conclude precisely. Key decisions:",[44,45,46,54,60,66],"ul",{},[47,48,49,53],"li",{},[50,51,52],"strong",{},"LLM Choice",": Gemini 2.5 Flash for speed\u002Fcost (mean 110k input\u002F6k output tokens per run). Params: temperature=0.1 (deterministic), top_p=0.8 (balanced creativity). No fine-tuning on Google's logs.",[47,55,56,59],{},[50,57,58],{},"Prompt Iteration",": Refined via real failures to enforce chain-of-thought, negative constraints (no speculation), strict markdown output with linked log lines.",[47,61,62,65],{},[50,63,64],{},"Post-Processing",": Formats as Critique finding (Figure 6) with clickable log links, conclusion, relevant lines.",[47,67,68,71],{},[50,69,70],{},"Integration",": Posts to Critique in p50=56s, p90=346s—faster than manual debugging.",[22,73,74],{},"Tradeoffs: Relies on complete logs; misses if infra bugs drop them (addressed post-eval). Handles heterogeneity without custom parsing. Vs. alternatives: LLMs excel at summarization where rules-based tools fail on variety.",[22,76,77],{},"\"LLMs are highly successful in diagnosing integration test failures due to their capacity to process and summarize complex textual data.\" (Abstract conclusion: Core insight on why LLMs fit this unstructured domain over prior methods.)",[17,79,81],{"id":80},"rigorous-evaluation-proves-high-accuracy-and-adoption","Rigorous Evaluation Proves High Accuracy and Adoption",[22,83,84],{},"Manual case study: Ran on 71 failures from 39 teams (Table 1). 3 expert infra devs (5+ years exp) assessed if conclusion\u002Frelevant logs hit root cause; aligned via meeting. Result: 64\u002F71 accurate (90.14%). 7 misses traced to infra bugs—4 test driver logs unsaved on crash, 3 SUT logs—fixed and reported.",[22,86,87],{},"Production launch (May 2025): Analyzed 224,782 executions of 52,635 distinct tests across 91,130 code changes by 22,962 authors (Table 2). Feedback buttons: \"Not helpful\" in 5.8% (94.2% neutral\u002Fpositive). Ranked #14\u002F370 Critique tools (top 3.78%) by helpfulness. Interviews praised workflow integration.",[22,89,90],{},"Decision chain: Surveys → hermetic functional focus → LLM prompt over rules → Critique embedding. Pivot: Discovered\u002Ffixed log bugs via eval. Non-obvious: 90% accuracy without domain fine-tuning; speed beats human ramp-up.",[22,92,93],{},"\"Developers consistently report spending substantially more time diagnosing integration test failures, often more than an hour and sometimes exceeding a day, compared to unit test failures.\" (Section 1: Highlights time savings potential, as Auto-Diagnose posts in \u003C1min.)",[17,95,97],{"id":96},"lessons-on-llm-reliability-and-infra-dependencies","Lessons on LLM Reliability and Infra Dependencies",[22,99,100],{},"Failures revealed infra fragility: Crashes dropped logs in 7\u002F71 cases, but this surfaced bugs proactively. Production scale validated robustness on real volume\u002Fvariety. User perception ties to accuracy—high marks despite no hype. Tradeoff: LLM creativity (top_p=0.8) risks hallucination, mitigated by low temp\u002Fstrict prompt.",[22,102,103],{},"To replicate: Prioritize hermetic tests; timestamp-join logs; iterate prompts on failures; integrate into review flows. Surprising: LLMs handle distributed log correlation better than expected, contradicting unit-test-only benchmarks.",[22,105,106],{},"\"The sheer volume of logs... presents a significant challenge. Developers must manually sift through a multitude of log files, each with its own formatting.\" (Section 2.4: Pinpoints why LLMs win—zero-shot text processing scales where humans don't.)",[17,108,110],{"id":109},"key-takeaways","Key Takeaways",[44,112,113,116,119,122,125,128,131,134,137],{},[47,114,115],{},"Target integration tests: Focus on functional hermetic ones for reproducibility; they're pain points despite lower frequency.",[47,117,118],{},"Use off-the-shelf LLMs like Gemini Flash: No fine-tuning needed for log summarization; tune params for determinism (temp=0.1, top_p=0.8).",[47,120,121],{},"Engineer prompts rigorously: Step-by-step reasoning + negatives + format constraints; iterate on real failures.",[47,123,124],{},"Timestamp-join all logs: Merge multi-source INFO+ into one stream for context.",[47,126,127],{},"Integrate into workflows: Post findings to code review (e.g., Critique) in \u003C1min to cut context-switching.",[47,129,130],{},"Evaluate with experts: Use 3+ seniors for ground truth; expect 90%+ accuracy if logs complete.",[47,132,133],{},"Monitor for infra gaps: Misses often reveal logging bugs—fix them.",[47,135,136],{},"Gather production feedback: Buttons + rankings guide iteration; aim for top 5% tool adoption.",[47,138,139],{},"Tradeoff honesty: LLMs shine on text but fail sans logs; pair with basics like log saving.",{"title":141,"searchDepth":142,"depth":142,"links":143},"",2,[144,145,146,147,148],{"id":19,"depth":142,"text":20},{"id":38,"depth":142,"text":39},{"id":80,"depth":142,"text":81},{"id":96,"depth":142,"text":97},{"id":109,"depth":142,"text":110},[],null,"md",false,{"content_references":154,"triage":169},[155,159,163,166],{"type":156,"title":157,"context":158},"tool","Critique","mentioned",{"type":156,"title":160,"author":161,"context":162},"Gemini 2.5 Flash","Google","cited",{"type":164,"title":165,"context":162},"other","EngSat Survey",{"type":167,"title":168,"context":158},"report","Survey-2",{"relevance":170,"novelty":171,"quality":171,"actionability":171,"composite":172,"reasoning":173},5,4,4.35,"Category: AI & LLMs. The article discusses a practical application of LLMs in diagnosing integration test failures, addressing a significant pain point for developers. It provides insights into how Auto-Diagnose improves developer productivity by automating log analysis, which is actionable for those looking to implement similar solutions.",true,"\u002Fsummaries\u002Fgoogle-s-auto-diagnose-90-accurate-llm-test-failur-summary","2026-04-19 14:52:49",{"title":5,"description":141},{"loc":175},"cda353c403863c01","__oneoff__","article","https:\u002F\u002Farxiv.org\u002Fpdf\u002F2604.12108","summaries\u002Fgoogle-s-auto-diagnose-90-accurate-llm-test-failur-summary",[185,186,187],"llm","prompt-engineering","dev-productivity","Auto-Diagnose uses Gemini to summarize integration test logs in Critique, achieving 90.14% root cause accuracy on 71 failures and helping on 52k+ production tests with 94.2% positive 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Auto-Diagnose: LLM Diagnoses Test Failures at 90% Accuracy",{"provider":7,"model":8,"input_tokens":4602,"output_tokens":4603,"processing_time_ms":4604,"cost_usd":4605},7775,1678,12431,0.00237135,{"type":14,"value":4607,"toc":4629},[4608,4612,4615,4619,4622,4626],[17,4609,4611],{"id":4610},"slash-integration-test-debug-time-with-llm-log-analysis","Slash Integration Test Debug Time with LLM Log Analysis",[22,4613,4614],{},"Integration tests at Google, which are 78% functional per a 239-developer survey, often fail with generic symptoms like timeouts while root causes hide in SUT component logs amid noise. Developers report 38.4% of failures take over an hour to diagnose (vs. 2.7% for unit tests), and 8.9% exceed a day—top complaint in a 6,059-developer EngSat survey. Auto-Diagnose triggers on failure via pub\u002Fsub, aggregates INFO+ logs across data centers\u002Fprocesses\u002Fthreads, joins and sorts them by timestamp into one stream, adds component metadata, and feeds to Gemini 2.5 Flash (temperature=0.1, topp=0.8). This yields p50 latency of 56s and p90 of 346s, with 110k input\u002F6k output tokens per run, letting devs act before context-switching.",[17,4616,4618],{"id":4617},"step-by-step-prompting-ensures-reliable-root-causes","Step-by-Step Prompting Ensures Reliable Root Causes",[22,4620,4621],{},"No fine-tuning needed—pure prompt engineering guides the LLM: scan sections, read context, locate failure, summarize errors, conclude only with evidence, and apply hard negatives like 'no conclusion if missing component logs.' Output post-processes to markdown with ==Conclusion== (root cause), ==Investigation Steps==, and ==Most Relevant Log Lines== (clickable links), auto-posted to Critique code reviews. Manual eval on 71 failures from 39 teams hit 90.14% root cause accuracy; failures exposed infra bugs like unsaved crash logs, fixed via feedback loop.",[17,4623,4625],{"id":4624},"production-feedback-ranks-it-top-38-of-tools","Production Feedback Ranks It Top 3.8% of Tools",[22,4627,4628],{},"Deployed on 52,635 failing tests across 224,782 executions and 91,130 changes by 22,962 devs. Of 517 feedbacks from 437 devs, 84.3% were reviewer 'Please fix' requests; dev helpfulness 63%, 'Not helpful' just 5.8% (under 10% live threshold), #14 of 370 Critique tools (top 3.78%). Replicate by building similar pipelines: aggregate\u002Fsort logs, chain-of-thought prompt general LLMs, integrate with review tools for instant value.",{"title":141,"searchDepth":142,"depth":142,"links":4630},[4631,4632,4633],{"id":4610,"depth":142,"text":4611},{"id":4617,"depth":142,"text":4618},{"id":4624,"depth":142,"text":4625},[230],{"content_references":4636,"triage":4641},[4637],{"type":4638,"title":4639,"url":182,"context":4640},"paper","Auto-Diagnose Pre-Print","recommended",{"relevance":170,"novelty":171,"quality":171,"actionability":170,"composite":4642,"reasoning":4643},4.55,"Category: AI & LLMs. The article provides a detailed overview of Google's Auto-Diagnose system, which uses LLMs to improve integration test debugging, directly addressing the pain point of long diagnosis times for developers. It includes specific steps for replicating the system, making it highly actionable for the target audience.","\u002Fsummaries\u002Fgoogle-s-auto-diagnose-llm-diagnoses-test-failures-summary","2026-04-18 06:00:41","2026-04-19 01:22:38",{"title":4600,"description":141},{"loc":4644},"941741f2e1ae4f3e","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F04\u002F17\u002Fgoogle-ai-releases-auto-diagnose-an-large-language-model-llm-based-system-to-diagnose-integration-test-failures-at-scale\u002F","summaries\u002Fgoogle-s-auto-diagnose-llm-diagnoses-test-failures-summary",[185,186,187],"Prompt-engineer Gemini 2.5 Flash on timestamp-sorted logs to auto-diagnose integration test root causes, posting fixes to code reviews—90.14% accurate on 71 real failures, 5.8% 'Not helpful' in production across 52k+ tests.",[187],"1IfOl8VTBB8X4eq_ZhCLlb3u4kwfmQvPqrxf6XPPpbg",{"id":4658,"title":4659,"ai":4660,"body":4665,"categories":4845,"created_at":150,"date_modified":150,"description":4846,"extension":151,"faq":150,"featured":152,"kicker_label":150,"meta":4847,"navigation":174,"path":4848,"published_at":4849,"question":150,"scraped_at":4850,"seo":4851,"sitemap":4852,"source_id":4853,"source_name":4854,"source_type":4855,"source_url":4856,"stem":4857,"tags":4858,"thumbnail_url":150,"tldr":4859,"tweet":150,"unknown_tags":4860,"__hash__":4861},"summaries\u002Fsummaries\u002Fslash-llm-token-costs-10x-by-fixing-6-bad-habits-summary.md","Slash LLM Token Costs 10x by Fixing 6 Bad Habits",{"provider":7,"model":8,"input_tokens":4661,"output_tokens":4662,"processing_time_ms":4663,"cost_usd":4664},8213,2447,18362,0.00257525,{"type":14,"value":4666,"toc":4836},[4667,4671,4674,4680,4686,4690,4693,4698,4701,4706,4710,4713,4718,4721,4725,4728,4734,4737,4742,4746,4749,4755,4758,4763,4767,4770,4791,4794,4797,4802,4804],[17,4668,4670],{"id":4669},"file-formats-are-your-biggest-beginner-token-trap","File Formats Are Your Biggest Beginner Token Trap",[22,4672,4673],{},"Raw PDFs, images, and screenshots explode token counts because LLMs encode binary structure, headers, footers, fonts, and layout metadata. A newbie drags in three 1,500-word PDFs (4,500 words total) and asks Claude to \"Summarize these.\" What should be ~5,000 tokens balloons to 100,000+ due to formatting overhead. This waste compounds as the bloated context bounces back in every turn, filling your window fast.",[22,4675,4676,4679],{},[50,4677,4678],{},"Fix:"," Convert to markdown first. Free web tools or a quick Claude prompt strips junk, yielding 4-6,000 clean tokens—a 20x saving. The speaker built a plugin for Open Brain ecosystem: ingest file, hit \"transform,\" get markdown. For 99% of cases, you only need text, not style. Trade-off: Lose visual fidelity, but gain speed and cost control. He calls file formats \"designed to be human readable, not AI readable.\"",[4681,4682,4683],"blockquote",{},[22,4684,4685],{},"\"4500 words of content can become a 100 plus thousand tokens if you're not careful all you have to do to avoid that is just think in terms of markdown... saving you 20x on the memory.\"\n(Context: Explaining PDF bloat; this quote shows why rookies hit limits in one chat.)",[17,4687,4689],{"id":4688},"conversation-sprawl-wastes-more-than-you-think","Conversation Sprawl Wastes More Than You Think",[22,4691,4692],{},"Intermediate users sprawl chats to 20-40 turns, diluting original instructions amid noise. Models compress history but still resend the full context each turn—every reply costs the entire prior exchange. Mixing research, ideation, and execution in one thread confuses the model and burns tokens.",[22,4694,4695,4697],{},[50,4696,4678],{}," Separate modes. Use short, focused chats (10-15 turns max) for heavy work: gather intel in dedicated threads (Grok for X sentiment, ChatGPT for earnings, Perplexity for research, Claude for blogs), then synthesize in a final crisp prompt. Mark evolving chats upfront: \"Our goal is to evolve and conclude together.\" End with \"Summarize this.\" Start fresh often—long threads correlate with \"LLM psychosis\" as models drift.",[22,4699,4700],{},"Trade-off: More chats mean manual synthesis, but you avoid context dilution and get clearer outputs. Every turn resends history, so sprawling is like \"filling up the context window with croft.\"",[4681,4702,4703],{},[22,4704,4705],{},"\"Why make them suffer... why not just ask for what you want upfront... your objective... should be to be so clear that the AI needs to do nothing else and it just goes and gets the work done.\"\n(Context: Critiquing multi-mode sprawl; highlights single-turn design of LLMs.)",[17,4707,4709],{"id":4708},"plugins-and-preloads-the-silent-context-tax","Plugins and Preloads: The Silent Context Tax",[22,4711,4712],{},"Loading 10+ plugins (e.g., Google Drive you never use) adds 50,000+ tokens before you type—every chat. It's like dumping every workshop tool on the bench before picking a hammer. Hype drives additions, but they barnacle on forever.",[22,4714,4715,4717],{},[50,4716,4678],{}," Audit ruthlessly. Use \u002Fcontext in Claude Code to check loads; disable unused connectors. Only equip 3-5 per task. For advanced setups, prune system prompts weekly—ditch lines from Claude 3.5 era.",[22,4719,4720],{},"Trade-off: Lose convenience for rarely used tools, but gain focus. Models pick wrong tools amid clutter.",[17,4722,4724],{"id":4723},"model-tiering-delivers-8-10x-savings-without-losing-quality","Model Tiering Delivers 8-10x Savings Without Losing Quality",[22,4726,4727],{},"Using Opus (or GPT-4o) for everything—formatting, proofreading, execution—is overkill. A production pipeline the speaker reviewed analyzes long conversations across dozens of dimensions on frontier models, yet costs \u003C25¢\u002Fuser because they tier: Opus for reasoning, Sonnet for execution, Haiku for polish.",[22,4729,4730,4733],{},[50,4731,4732],{},"Example math (5-hour session, same output):"," Sloppy (raw PDFs, 30-turn sprawl, all-Opus): 800k-1M input tokens + 150-200k output = $8-10 ($5\u002FM input, $25\u002FM output). Clean (markdown, fresh chats every 10-15 turns, tiered models, scoped context): 100-150k input + 50-80k output = ~$1. Scale to 10-person team API: $2,000 vs. $250\u002Fmonth.",[22,4735,4736],{},"Trade-off: Test cheaper models per task; Haiku shines on polish but flops on complex reasoning. As models improve, lean out context—trust retrieval over frontloading.",[4681,4738,4739],{},[22,4740,4741],{},"\"Don't bring a Ferrari to the grocery store.\"\n(Context: Model tiering; punchy metaphor for using Opus everywhere.)",[17,4743,4745],{"id":4744},"production-levers-caching-search-and-auditing","Production Levers: Caching, Search, and Auditing",[22,4747,4748],{},"Advanced users screw up at scale (millions of tokens). Ignore prompt caching? Miss 90% discounts (Opus: $0.50\u002FM cached vs. $5\u002FM). System prompts bloat from unpruned cruft. Web search via native Claude burns 10-50k tokens\u002Fquery vs. Perplexity (5x faster, structured citations).",[22,4750,4751,4754],{},[50,4752,4753],{},"Fixes:"," Cache stable context (prompts, tools, docs). Use MCP connectors for cheap search (e.g., Perplexity service). For agents\u002Frepos, test context needs per model gen—dumber models needed fat windows; now trim.",[22,4756,4757],{},"Jen-Hsun Huang pegs engineer token spend at $250k\u002Fyear—don't be that person. With Mythos\u002FGPT-next\u002FGemini (GB300-trained, 10x Opus pricing rumored: $50\u002FM in, $250\u002FM out), sloppy habits scale painfully.",[4681,4759,4760],{},[22,4761,4762],{},"\"The models are not expensive it's your habits that cost a lot... your mistakes scale with the price of intelligence.\"\n(Context: Thesis opener and closer; frames costs as behavioral, not inherent.)",[17,4764,4766],{"id":4765},"tools-to-diagnose-and-fix-your-usage","Tools to Diagnose and Fix Your Usage",[22,4768,4769],{},"Speaker built a \"stupid button\" (Open Brain plugin\u002Fskill\u002Fguardrails):",[4771,4772,4773,4779,4785],"ol",{},[47,4774,4775,4778],{},[50,4776,4777],{},"Audit prompt:"," Paste recent chat; flags raw docs, sprawl, model misuse, redundant loads—prioritizes fixes.",[47,4780,4781,4784],{},[50,4782,4783],{},"Gas tank skill:"," Measures per-session overhead (system prompts, plugins); before\u002Fafter baselines.",[47,4786,4787,4790],{},[50,4788,4789],{},"Guardrails:"," Blocks token-waste on knowledge stores.",[22,4792,4793],{},"Run it: Answers 6 questions (raw files? Fresh chats? All-Opus? Preloads? Caching? Cheap search?). No setup for prompt version.",[22,4795,4796],{},"Real pipeline proves frontier AI viability: Dozens of analysis dimensions on long convos, personalized output, \u003C25¢\u002Fuser.",[4681,4798,4799],{},[22,4800,4801],{},"\"Frontier AI can be absurdly cheap when you know what you're doing... most of us are spending more than we need to on AI.\"\n(Context: Production example; counters \"AI is too expensive\" narrative.)",[17,4803,110],{"id":109},[44,4805,4806,4809,4812,4815,4818,4821,4824,4827,4830,4833],{},[47,4807,4808],{},"Convert all inputs to markdown: 20x token savings on docs\u002Fimages; use free tools or Claude.",[47,4810,4811],{},"Cap chats at 10-15 turns; separate research from execution for clarity and cost.",[47,4813,4814],{},"Audit plugins\u002Fpreloads weekly: Disable barnacles adding 50k+ tokens\u002Fchat.",[47,4816,4817],{},"Tier models: Opus reasoning, Sonnet execution, Haiku polish—8-10x cheaper same output.",[47,4819,4820],{},"Cache stable context: 90% off repeated inputs; essential for agents\u002Fproduction.",[47,4822,4823],{},"Use cheap search (Perplexity\u002FMCP): 10-50k fewer tokens\u002Fquery, faster results.",[47,4825,4826],{},"Prune system prompts biweekly; trim context as models smarten.",[47,4828,4829],{},"Baseline usage with audits: Turn $10\u002Fday slop into $1\u002Fday efficiency.",[47,4831,4832],{},"Prep for 10x pricier models: Habits today dictate ROI tomorrow.",[47,4834,4835],{},"Build token smarts: $250k\u002Fyear engineer spend is avoidable skill gap.",{"title":141,"searchDepth":142,"depth":142,"links":4837},[4838,4839,4840,4841,4842,4843,4844],{"id":4669,"depth":142,"text":4670},{"id":4688,"depth":142,"text":4689},{"id":4708,"depth":142,"text":4709},{"id":4723,"depth":142,"text":4724},{"id":4744,"depth":142,"text":4745},{"id":4765,"depth":142,"text":4766},{"id":109,"depth":142,"text":110},[230],"My site: https:\u002F\u002Fnatebjones.com\nFull Story w\u002F Prompts: https:\u002F\u002Fnatesnewsletter.substack.com\u002Fp\u002Fyour-claude-sessions-cost-10x-what?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true\n___________________\nWhat's really happening inside your AI costs when Jensen Hwang says engineers will spend $250,000 a year on tokens?\n\nThe common story is that frontier models are expensive — but the reality is that your habits cost more than the models ever will, and most users burn 8-10x what they need to.\n\nIn this video, I share the inside scoop on token efficiency before Mythos pricing hits:\n\n • Why raw PDFs can turn 4,500 words into 100,000 tokens\n • How conversation sprawl compounds waste with every turn\n • What plugin overhead costs you before you type a word\n • Where model mixing drops a $10 session to $1\n\nBuilders who keep burning tokens as a badge of honor will face a reckoning when cutting-edge models cost 10x what Opus costs today — the habits you build now determine whether you scale or stall.\n\nChapters\n00:00 Stop burning tokens and blaming the model\n02:30 A real pipeline that costs less than 25 cents per user\n04:30 Rookie mistake: document ingestion and PDFs\n07:00 Convert to Markdown, always\n09:00 Conversation sprawl and context compression\n11:30 The plugin and connector tax\n14:00 Advanced users have the most expensive mistakes\n16:30 The 8-10x cost reduction breakdown\n19:00 What Mythos pricing will do to your mistakes\n21:00 The stupid button: six questions to audit yourself\n23:30 Five commandments for agent token management\n26:00 Use your tokens well, not wastefully\n\nSubscribe for daily AI strategy and news.\nFor deeper playbooks and analysis: https:\u002F\u002Fnatesnewsletter.substack.com\u002F\n\nListen to this video as a podcast.\n- Spotify: https:\u002F\u002Fopen.spotify.com\u002Fshow\u002F0gkFdjd1wptEKJKLu9LbZ4\n- Apple Podcasts: https:\u002F\u002Fpodcasts.apple.com\u002Fus\u002Fpodcast\u002Fai-news-strategy-daily-with-nate-b-jones\u002Fid1877109372",{},"\u002Fsummaries\u002Fslash-llm-token-costs-10x-by-fixing-6-bad-habits-summary","2026-04-02 14:00:06","2026-04-03 21:11:38",{"title":4659,"description":4846},{"loc":4848},"f932400d9db7252e","AI News & Strategy Daily | Nate B Jones","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=5ztI_dbj6ek","summaries\u002Fslash-llm-token-costs-10x-by-fixing-6-bad-habits-summary",[185,186,187],"Upcoming frontier models like Claude Mythos will cost 10x more—fix habits like raw PDFs, conversation sprawl, and overusing Opus to drop daily costs from $10 to $1 while getting the same output.",[187],"dSzXEEh_GAFVQRPibDgpRAY3aguCpeO8P2aHloulWGU",{"id":4863,"title":4864,"ai":4865,"body":4870,"categories":5226,"created_at":150,"date_modified":150,"description":141,"extension":151,"faq":150,"featured":152,"kicker_label":150,"meta":5227,"navigation":174,"path":5238,"published_at":5239,"question":150,"scraped_at":5240,"seo":5241,"sitemap":5242,"source_id":5243,"source_name":5244,"source_type":181,"source_url":5245,"stem":5246,"tags":5247,"thumbnail_url":150,"tldr":5249,"tweet":150,"unknown_tags":5250,"__hash__":5251},"summaries\u002Fsummaries\u002Fbuild-ai-skills-for-repeatable-agent-tasks-summary.md","Build AI Skills for Repeatable Agent Tasks",{"provider":7,"model":8,"input_tokens":4866,"output_tokens":4867,"processing_time_ms":4868,"cost_usd":4869},8367,2880,37114,0.00309075,{"type":14,"value":4871,"toc":5217},[4872,4876,4879,4882,4888,4892,4904,4913,4927,4930,4941,4944,4950,4955,4959,4966,4972,4983,4989,4997,5000,5006,5010,5015,5075,5082,5085,5090,5094,5100,5106,5142,5148,5154,5160,5165,5169,5172,5175,5181,5186,5188],[17,4873,4875],{"id":4874},"why-skills-fix-ai-workflow-pain-points","Why Skills Fix AI Workflow Pain Points",[22,4877,4878],{},"AI agents like Claude start every conversation from scratch, forcing you to reload context, conventions, and instructions repeatedly. This wastes tokens and time, especially across multiple repos or team members. Memory files like .claude.md or .agents.md help by appending global or repo-specific rules (e.g., \"use pnpm and Vite here\"), but they bloat context windows, apply indiscriminately, and lack determinism—no built-in script execution means non-deterministic outputs vary by model, thinking level, or tab.",[22,4880,4881],{},"Skills address this as discrete, composable units: small-footprint folders encoding exactly what matters for a task. They're portable (share across codebases), focused (loaded only when relevant), and deterministic (via scripts). A 30-line markdown file can transform generic repo analysis (\"looks pretty good\") into hyper-specific feedback (\"README drift violates our semantic commit policy; routing uses Next.js conventions\").",[22,4883,4884,4887],{},[50,4885,4886],{},"Quote:"," \"it's almost like carrying if you will the dry pattern into the agentic era in a way um and not repeating yourself\" — on skills enabling Don't Repeat Yourself for agents.",[17,4889,4891],{"id":4890},"anatomy-of-a-skill-frontmatter-drives-routing","Anatomy of a Skill: Frontmatter Drives Routing",[22,4893,4894,4895,4899,4900,4903],{},"A skill is a folder named after the skill (e.g., ",[4896,4897,4898],"code",{},"repo-roast","), containing ",[4896,4901,4902],{},"skill.md"," with YAML frontmatter:",[4905,4906,4911],"pre",{"className":4907,"code":4909,"language":4910},[4908],"language-text","---\nname: Repo Roast\ndescription: Analyze and roast a git repo for code quality, conventions, and issues using team-specific constraints.\n---\n","text",[4896,4912,4909],{"__ignoreMap":141},[44,4914,4915,4921],{},[47,4916,4917,4920],{},[50,4918,4919],{},"Name",": Human-readable label.",[47,4922,4923,4926],{},[50,4924,4925],{},"Description",": Critical routing mechanism—LLMs scan it at runtime to decide relevance. Write for AI, not humans: e.g., \"User wants fun, critical repo analysis checking stale todos, commit hygiene, and our Vite\u002Fpnpm stack.\" Test by asking Claude: \"When would you load this skill?\"",[22,4928,4929],{},"Follow with constraints (more effective than prescriptions):",[44,4931,4932,4935,4938],{},[47,4933,4934],{},"\"Never vague; cite code with line numbers and git commits.\"",[47,4936,4937],{},"\"Flag README drift, semantic commits only.\"",[47,4939,4940],{},"\"In this repo: Vite, pnpm—no npm\u002Fyarn.\"",[22,4942,4943],{},"Add context (images, refs) or scripts for determinism. Skills aren't just markdown—they're folders with anything: scripts, data files.",[22,4945,4946,4949],{},[50,4947,4948],{},"Common Mistake",": Over-prescription bloats like a novel; constraints guide creativity. E.g., \"Never skip steps\" > \"Do step1, step2 exactly.\"",[22,4951,4952,4954],{},[50,4953,4886],{}," \"the description is incredibly powerful and loaded this is what the LLM is going to use at runtime to essentially do routing and determine if this skill is relevant\"",[17,4956,4958],{"id":4957},"adding-determinism-with-script-interpolation","Adding Determinism with Script Interpolation",[22,4960,4961,4962,4965],{},"Inject real data via Claude-specific ",[4896,4963,4964],{},"!"," + backticks for execution:",[4905,4967,4970],{"className":4968,"code":4969,"language":4910},[4908],"Stale todos: `!git grep -l \"TODO\\|FIXME\" -- *.ts *.js | xargs cat`\nLatest commits: `!git log --oneline -10`\n",[4896,4971,4969],{"__ignoreMap":141},[22,4973,4974,4975,4978,4979,4982],{},"Claude interpolates outputs directly (like JS ",[4896,4976,4977],{},"${}","), piping commands (e.g., ",[4896,4980,4981],{},"git log | awk '{print $1}'","). This saves tokens, ensures consistency—no hallucinated git history. Ideal for status reports, metrics.",[22,4984,4985,4988],{},[50,4986,4987],{},"Before\u002FAfter",":",[44,4990,4991,4994],{},[47,4992,4993],{},"Without: AI speculates \"latest commits,\" varies across runs.",[47,4995,4996],{},"With: Deterministic list feeds reasoning, repeatable.",[22,4998,4999],{},"Extend to any bash: grep stale todos, npm audit, coverage stats. Non-slurping (no keys needed for local git).",[22,5001,5002,5005],{},[50,5003,5004],{},"Principle",": Formalize workflow pieces once; skills bootstrap non-deterministic convos with facts.",[17,5007,5009],{"id":5008},"loading-sharing-and-iteration-loop","Loading, Sharing, and Iteration Loop",[22,5011,5012,4988],{},[50,5013,5014],{},"Placement",[5016,5017,5018,5034],"table",{},[5019,5020,5021],"thead",{},[5022,5023,5024,5028,5031],"tr",{},[5025,5026,5027],"th",{},"Scope",[5025,5029,5030],{},"Path",[5025,5032,5033],{},"Use Case",[5035,5036,5037,5051,5064],"tbody",{},[5022,5038,5039,5043,5048],{},[5040,5041,5042],"td",{},"Repo-specific",[5040,5044,5045],{},[4896,5046,5047],{},".claude\u002Fskills\u002Frepo-roast\u002Fskill.md",[5040,5049,5050],{},"Project conventions. Auto-loads for team.",[5022,5052,5053,5056,5061],{},[5040,5054,5055],{},"Global",[5040,5057,5058],{},[4896,5059,5060],{},"~\u002F .claude\u002Fskills\u002F",[5040,5062,5063],{},"Cross-project (e.g., personal blog pixel art gen).",[5022,5065,5066,5069,5072],{},[5040,5067,5068],{},"Multi-tool",[5040,5070,5071],{},"Symlink via Vercel mpx skills tool",[5040,5073,5074],{},"Claude, Cursor, Agents.md equiv.",[22,5076,5077,5078,5081],{},"Dev loop: Edit → Save → Invoke (\"roast this repo\") → Critique → Repeat. Use Claude's built-in ",[50,5079,5080],{},"skill builder"," skill: \"Critique this skill.md,\" \"Evaluate output,\" \"Suggest description improvements.\"",[22,5083,5084],{},"Skills compose: One calls another (Claude can, but sparingly). Non-technical users share via Claude Desktop (connectors to Slack\u002FNotion).",[22,5086,5087,5089],{},[50,5088,4886],{}," \"Claude ships with a fantastic uh skill builder skill or skill creator skill and uh that is really good for critiquing your skill setting it up in a way that Claude would expect it to be uh and even evaluating it\"",[17,5091,5093],{"id":5092},"hands-on-building-repo-roast-skill","Hands-On: Building Repo Roast Skill",[22,5095,5096,5099],{},[50,5097,5098],{},"Assumed Level",": Comfortable with Claude\u002FCursor, git basics. Fits after basic prompting, before agent orchestration.",[22,5101,5102,5105],{},[50,5103,5104],{},"Steps"," (from workshop repo clone via QR):",[4771,5107,5108,5114,5120,5126,5132],{},[47,5109,5110,5113],{},[50,5111,5112],{},"Frontmatter",": Name\u002Fdescribe for routing (\"roast repo\" triggers).",[47,5115,5116,5119],{},[50,5117,5118],{},"Constraints",": List 3-5 (no vague, cite lines\u002Fcommits, stack-specific).",[47,5121,5122,5125],{},[50,5123,5124],{},"Scripts",": Interpolate git commands (todos, commits, deps).",[47,5127,5128,5131],{},[50,5129,5130],{},"Test",": Claude → Output → Refine desc\u002Fconstraints.",[47,5133,5134,5137,5138,5141],{},[50,5135,5136],{},"Share",": ",[4896,5139,5140],{},"share.sh"," uploads to KV; presenters demo live.",[22,5143,5144,5147],{},[50,5145,5146],{},"Quality Criteria",": Repeatable format, comprehensive yet concise, fun\u002Fengaging. Good: Specific, actionable roasts. Bad: Generic, misses constraints.",[22,5149,5150,5153],{},[50,5151,5152],{},"Customization",": Inject team rules (e.g., \"ESLint violations = fire\"). Vary seriousness\u002Fcreativity.",[22,5155,5156,5159],{},[50,5157,5158],{},"Exercise",": Build baseline, tweak for your stack, share variants. Discuss: Skills vs. .claude.md? (Skills for tasks; md for always-on rules—minimize md bloat).",[22,5161,5162,5164],{},[50,5163,4886],{}," \"provide just three constraints and say never be vague or um when you site code it always has to have a specific line and a git commit reference with it um then you'll get better performance\"",[17,5166,5168],{"id":5167},"scaling-skills-across-teams-and-tools","Scaling Skills Across Teams and Tools",[22,5170,5171],{},"Solo: 12 agents with tailored skills. Teams: Uniform execution (recruiting skill pulls Slack\u002FNotion for reports). Portable: No repo-pull dependency.",[22,5173,5174],{},"Composable: Image gen skills route by domain (pixel art for blog; S3 for work). Agents.mmd standardization pending, but Claude\u002FCursor\u002FCopilot\u002FDesktop universal.",[22,5176,5177,5180],{},[50,5178,5179],{},"Trade-offs",": Claude-dominant (91% room); Pi hacks extensions. Scripts local-only (git, no remote keys).",[22,5182,5183,5185],{},[50,5184,4886],{}," \"as soon as you gave them that skill then everyone on the team is running it in a uniform way\"",[17,5187,110],{"id":109},[44,5189,5190,5193,5196,5199,5202,5205,5208,5211,5214],{},[47,5191,5192],{},"Start skills with precise description for AI routing: Test by asking \"When to use?\"",[47,5194,5195],{},"Favor 3-5 constraints over step-by-step: Guides without bloating.",[47,5197,5198],{},"Use `!`` script interp for determinism: Git logs, todos—feed facts to LLM.",[47,5200,5201],{},"Place repo-local for projects, global for cross-use; symlink for multi-tools.",[47,5203,5204],{},"Iterate with Claude's skill builder: Critique, evaluate, refine.",[47,5206,5207],{},"Share via folders\u002FKV: Team uniformity without context reload.",[47,5209,5210],{},"Skills > memory files: Task-focused, portable, composable.",[47,5212,5213],{},"Minimum viable: 30-line md yields hyper-specific outputs.",[47,5215,5216],{},"Ask LLM meta-questions: \"Skills call skills?\"—leverages self-awareness.",{"title":141,"searchDepth":142,"depth":142,"links":5218},[5219,5220,5221,5222,5223,5224,5225],{"id":4874,"depth":142,"text":4875},{"id":4890,"depth":142,"text":4891},{"id":4957,"depth":142,"text":4958},{"id":5008,"depth":142,"text":5009},{"id":5092,"depth":142,"text":5093},{"id":5167,"depth":142,"text":5168},{"id":109,"depth":142,"text":110},[],{"content_references":5228,"triage":5236},[5229,5231,5234],{"type":156,"title":5230,"context":158},"Vercel MPX skills tool",{"type":156,"title":5232,"author":5233,"context":4640},"Claude Skill Builder","Anthropic",{"type":164,"title":5235,"context":158},"Workshop Repo",{"relevance":170,"novelty":171,"quality":171,"actionability":170,"composite":4642,"reasoning":5237},"Category: AI & LLMs. The article provides a practical framework for building AI skills that enhance agent workflows, addressing a specific pain point of context management in AI agents. It offers actionable steps for creating portable markdown folders that encode workflows, making it directly applicable for developers looking to implement AI features.","\u002Fsummaries\u002Fbuild-ai-skills-for-repeatable-agent-tasks-summary","2026-05-06 17:00:06","2026-05-07 11:03:29",{"title":4864,"description":141},{"loc":5238},"364afea72622c43a","AI Engineer","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=pFsfax19yOM","summaries\u002Fbuild-ai-skills-for-repeatable-agent-tasks-summary",[185,5248,186,187],"agents","Skills are portable markdown folders with frontmatter, constraints, and scripts that teach LLMs specific, reliable workflows—codifying DRY principles for agents across repos and teams.",[187],"E6k4nU6zZAGeT81zrtW1hofjgktykCBqYrXsDioshuo",{"id":5253,"title":5254,"ai":5255,"body":5260,"categories":5321,"created_at":150,"date_modified":150,"description":141,"extension":151,"faq":150,"featured":152,"kicker_label":150,"meta":5322,"navigation":174,"path":5333,"published_at":5334,"question":150,"scraped_at":5335,"seo":5336,"sitemap":5337,"source_id":5338,"source_name":5339,"source_type":181,"source_url":5340,"stem":5341,"tags":5342,"thumbnail_url":150,"tldr":5343,"tweet":150,"unknown_tags":5344,"__hash__":5345},"summaries\u002Fsummaries\u002Fclaude-md-patterns-for-bulletproof-ai-coding-summary.md","Claude.md Patterns for Bulletproof AI Coding",{"provider":7,"model":8,"input_tokens":5256,"output_tokens":5257,"processing_time_ms":5258,"cost_usd":5259},7402,1645,34494,0.00179605,{"type":14,"value":5261,"toc":5316},[5262,5266,5269,5272,5275,5278,5281,5285,5288,5291,5294,5297,5300,5304,5307,5310,5313],[17,5263,5265],{"id":5264},"karpathy-inspired-rules-to-align-claude-with-your-intent","Karpathy-Inspired Rules to Align Claude with Your Intent",[22,5267,5268],{},"Start every claude.md with a project description at the top so Claude grasps the app's structure, services, dependencies, and runtime before diving in—this prevents deduction from code alone and cuts misalignment. Add explicit 'think before coding': Claude must state assumptions, list multiple interpretations if ambiguous, and confirm your choice, slashing course-corrections by forcing clarification over training-data guesses.",[22,5270,5271],{},"Prioritize simplicity: Instruct Claude to solve in minimal lines (e.g., refactor if >200 lines when 50 suffice), add only requested features with proper error handling, and iterate toward conciseness. This avoids verbose overhead that bloats tokens, delays refactoring, and hinders scaling in large apps.",[22,5273,5274],{},"Enforce surgical changes: Touch only task-tracing code; flag unrelated issues (dead code, formatting) without fixing unless asked, as agents scatter focus on 'improvements.' Every edit must link directly to your request, listing other findings for your triage.",[22,5276,5277],{},"Drive goal execution: For each task, Claude defines verifiable success criteria upfront—like writing passing tests for validation inputs\u002Foutputs—then plans, implements, iterates until verified. For UI, pair with tools like Claude Chrome extension or Puppeteer MCP to visually confirm changes, as code alone misleads.",[22,5279,5280],{},"These patterns from Andrej Karpathy's skills repo transform vague tasks into precise, testable outcomes, ensuring behavior matches intent without wild implementations.",[17,5282,5284],{"id":5283},"tool-overrides-safety-and-iterative-refinement","Tool Overrides, Safety, and Iterative Refinement",[22,5286,5287],{},"Override defaults: Skip init-generated commands (e.g., npm run dev) Claude already knows; specify custom tools like GitHub CLI over git, PNPM over npm, or non-standard run instructions to leverage your stack without fallbacks.",[22,5289,5290],{},"Update dynamically: After user corrections, Claude applies fixes then logs learnings to a dedicated file, building a knowledge base of pitfalls and preferences for future tasks—treat claude.md as living, not static.",[22,5292,5293],{},"Embed git safety: Ban irreversible commands (force-push, reset --hard, rm -rf) without confirmation; if unsure, always ask. This guards production from accidents like unwanted merges.",[22,5295,5296],{},"Use path-scoped rule files: Create e.g., api-rules.md (first line declares scope) for file-type rules, referenced in root claude.md. This avoids bloat—Claude loads only relevant rules, staying focused without interference.",[22,5298,5299],{},"For monorepos, add scoped claude.md per subfolder for module-specific guidance; root holds global rules only, preventing divergence from irrelevant instructions.",[17,5301,5303],{"id":5302},"prioritized-structure-and-verification-for-peak-performance","Prioritized Structure and Verification for Peak Performance",[22,5305,5306],{},"Order by priority: Hard rules first (non-negotiable, e.g., safety, scoping), then medium (key principles like simplicity), finally low (references). Burying criticals dilutes impact.",[22,5308,5309],{},"Mandate full verification before completion: Don't just add code—run builds, tests, linting, type checks to confirm functionality. Report only when all pass, using every mechanism for fidelity.",[22,5311,5312],{},"Cap at 300 lines: Beyond this, performance drops; trim ruthlessly for focus.",[22,5314,5315],{},"This setup, refined from community testing and shipping, eliminates agent fights: Claude reasons correctly, changes precisely, verifies rigorously, and adapts—saving hours on real projects.",{"title":141,"searchDepth":142,"depth":142,"links":5317},[5318,5319,5320],{"id":5264,"depth":142,"text":5265},{"id":5283,"depth":142,"text":5284},{"id":5302,"depth":142,"text":5303},[230],{"content_references":5323,"triage":5331},[5324,5328],{"type":164,"title":5325,"author":5326,"url":5327,"context":162},"andrej-karpathy-skills","forrestchang","https:\u002F\u002Fgithub.com\u002Fforrestchang\u002Fandrej-karpathy-skills\u002F",{"type":156,"title":5329,"url":5330,"context":158},"Klaus","https:\u002F\u002Fklausai.com\u002Fr\u002FMv1e2",{"relevance":170,"novelty":171,"quality":171,"actionability":170,"composite":4642,"reasoning":5332},"Category: AI & LLMs. The article provides practical patterns for using Claude.md effectively, addressing the pain points of AI-Curious Developers and Technical Founders by offering concrete strategies for coding with AI. It emphasizes actionable steps like starting with a project description and defining success criteria, making it immediately applicable for building AI-powered products.","\u002Fsummaries\u002Fclaude-md-patterns-for-bulletproof-ai-coding-summary","2026-04-28 14:30:29","2026-05-03 16:44:39",{"title":5254,"description":141},{"loc":5333},"c6527f0f4e352415","AI LABS","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=fMY5Sdj2DMk","summaries\u002Fclaude-md-patterns-for-bulletproof-ai-coding-summary",[185,5248,186,187],"Craft claude.md with project description first, Karpathy rules like 'think before coding' and simplicity, tool overrides, git safety, scoped files, verification steps, and priority-ordered instructions under 300 lines to make Claude ship exact implementations without guesswork or bloat.",[187],"x7BnTXtPrK9YGd9q1w2LcPC0clahjYLh05i9j3ohbgE"]