[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-142a3fb09c400ccd-cybersecurity-spend-more-tokens-than-attackers-summary":3,"summaries-facets-categories":105,"summary-related-142a3fb09c400ccd-cybersecurity-spend-more-tokens-than-attackers-summary":3675},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":47,"date_modified":47,"description":40,"extension":48,"faq":47,"featured":49,"kicker_label":47,"meta":50,"navigation":86,"path":87,"published_at":88,"question":47,"scraped_at":89,"seo":90,"sitemap":91,"source_id":92,"source_name":93,"source_type":94,"source_url":95,"stem":96,"tags":97,"thumbnail_url":47,"tldr":102,"tweet":47,"unknown_tags":103,"__hash__":104},"summaries\u002Fsummaries\u002F142a3fb09c400ccd-cybersecurity-spend-more-tokens-than-attackers-summary.md","Cybersecurity: Spend More Tokens Than Attackers",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",4773,2045,12020,0.00195445,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"ai-exploit-finders-create-token-proof-of-work","AI Exploit Finders Create Token Proof-of-Work",[22,23,24],"p",{},"Anthropic's Mythos LLM excels at cybersecurity tasks, completing a 32-step corporate network attack simulation—estimated at 20 human hours—in 3 of 10 runs, unlike other frontier models. Each attempt used 100M tokens ($12,500 for Mythos, $125k total for 10 runs), with no diminishing returns observed: models kept improving as budgets increased. This shifts security economics to raw compute power, akin to cryptocurrency's proof-of-work or a low-temperature lottery—success depends on outspending attackers on token-fueled exploit discovery. Harden systems by allocating more tokens to red-teaming than adversaries will for attacks; cleverness yields no edge.",[17,26,28],{"id":27},"open-source-outpaces-custom-reimplementations","Open Source Outpaces Custom Reimplementations",[22,30,31],{},"Despite AI maximalists like Karpathy advocating LLM-based reimplementation of dependencies to avoid supply chain risks (e.g., LiteLLM, Axios incidents), open source remains superior. Linus's Law expands: enough eyeballs plus corporate token budgets on OSS libraries make bugs shallow and security robust. Custom \"yoinked\" code can't match collective investment; attackers prioritize high-value OSS targets but defenders' pooled resources still win on spend.",[17,33,35],{"id":34},"add-autonomous-hardening-to-dev-cycles","Add Autonomous Hardening to Dev Cycles",[22,37,38],{},"Evolve coding into three phases separated by human vs. money limits: (1) Development for fast iteration with intuition\u002Ffeedback; (2) Review for docs\u002Frefactors\u002Fbest practices (e.g., Anthropic's $15-20 Claude tool); (3) Hardening via autonomous exploit hunting until budget exhausts. This makes security continuous and budget-optimized, unlike rare manual audits. Code stays cheap until secure—costs fix via exploit market value, demanding more tokens than foes regardless of inference optimizations.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[],null,"md",false,{"content_references":51,"triage":81},[52,57,61,66,70,73,77],{"type":53,"title":54,"url":55,"context":56},"tool","Mythos","https:\u002F\u002Fred.anthropic.com\u002F2026\u002Fmythos-preview\u002F","cited",{"type":53,"title":58,"url":59,"context":60},"Glasswing","https:\u002F\u002Fwww.anthropic.com\u002Fglasswing","mentioned",{"type":62,"title":63,"author":64,"url":65,"context":56},"report","Our evaluation of Claude Mythos preview’s cyber capabilities","AI Security Institute","https:\u002F\u002Fwww.aisi.gov.uk\u002Fblog\u002Four-evaluation-of-claude-mythos-previews-cyber-capabilities",{"type":67,"title":68,"url":69,"context":56},"paper","The Last Ones","https:\u002F\u002Farxiv.org\u002Fabs\u002F2603.11214",{"type":53,"title":71,"url":72,"context":60},"LiteLLM","https:\u002F\u002Fdocs.litellm.ai\u002Fblog\u002Fsecurity-update-march-2026",{"type":62,"title":74,"author":75,"url":76,"context":60},"How we caught the Axios supply chain attack","Elastic Security Labs","https:\u002F\u002Fwww.elastic.co\u002Fsecurity-labs\u002Fhow-we-caught-the-axios-supply-chain-attack",{"type":53,"title":78,"url":79,"context":80},"Code Review","https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fcode-review","recommended",{"relevance":82,"novelty":82,"quality":83,"actionability":82,"composite":84,"reasoning":85},3,4,3.25,"Category: AI & LLMs. The article discusses the application of AI in cybersecurity, specifically how LLMs can be used for exploit discovery, which aligns with the audience's interest in AI engineering. It provides some novel insights into the economics of security but lacks detailed actionable steps for implementation.",true,"\u002Fsummaries\u002F142a3fb09c400ccd-cybersecurity-spend-more-tokens-than-attackers-summary","2026-04-14 14:42:00","2026-04-16 03:15:43",{"title":5,"description":40},{"loc":87},"142a3fb09c400ccd","__oneoff__","article","https:\u002F\u002Fwww.dbreunig.com\u002F2026\u002F04\u002F14\u002Fcybersecurity-is-proof-of-work-now.html","summaries\u002F142a3fb09c400ccd-cybersecurity-spend-more-tokens-than-attackers-summary",[98,99,100,101],"llm","ai-tools","open-source","coding","AI turns security into proof-of-work: defenders must burn more tokens finding exploits (e.g., 100M tokens\u002F$12.5k per Mythos run) than attackers do to exploit 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Coders Default to Hardcoded Keyword Rules",{"provider":7,"model":8,"input_tokens":3680,"output_tokens":3681,"processing_time_ms":3682,"cost_usd":3683},3884,1981,24462,0.0017448,{"type":14,"value":3685,"toc":3808},[3686,3690,3693,3696,3794,3797,3801,3804],[17,3687,3689],{"id":3688},"ais-preference-for-simple-rules-over-intelligence","AI's Preference for Simple Rules Over Intelligence",[22,3691,3692],{},"AI coding assistants consistently produce hardcoded solutions for tasks requiring judgment, like classifying project documents into categories such as standards, drawings, specifications, contracts, or general notes. Instead of using LLMs for contextual analysis, they default to keyword dictionaries and string matching. This solves the immediate problem but creates brittle code that fails on edge cases, as it treats intelligence problems without actual intelligence.",[22,3694,3695],{},"To classify from title and description, the AI outputs:",[3697,3698,3702],"pre",{"className":3699,"code":3700,"language":3701,"meta":40,"style":40},"language-python shiki shiki-themes github-light github-dark","DOCUMENT_TYPES = {\n    \"spec\": \"specification\",\n    \"drawing\": \"drawing\",\n    \"standard\": \"standard\",\n    \"contract\": \"contract\",\n    \"agreement\": \"contract\",\n    \"scope\": \"scope\",\n}\n\ndef classify_document(title, description):\n    text = f\"{title} {description}\".lower()\n    for keyword, document_type in DOCUMENT_TYPES.items():\n        if keyword in text:\n            return document_type\n    return \"general\"\n","python",[3703,3704,3705,3713,3718,3723,3728,3734,3740,3746,3752,3758,3764,3770,3776,3782,3788],"code",{"__ignoreMap":40},[3706,3707,3710],"span",{"class":3708,"line":3709},"line",1,[3706,3711,3712],{},"DOCUMENT_TYPES = {\n",[3706,3714,3715],{"class":3708,"line":41},[3706,3716,3717],{},"    \"spec\": \"specification\",\n",[3706,3719,3720],{"class":3708,"line":82},[3706,3721,3722],{},"    \"drawing\": \"drawing\",\n",[3706,3724,3725],{"class":3708,"line":83},[3706,3726,3727],{},"    \"standard\": \"standard\",\n",[3706,3729,3731],{"class":3708,"line":3730},5,[3706,3732,3733],{},"    \"contract\": \"contract\",\n",[3706,3735,3737],{"class":3708,"line":3736},6,[3706,3738,3739],{},"    \"agreement\": \"contract\",\n",[3706,3741,3743],{"class":3708,"line":3742},7,[3706,3744,3745],{},"    \"scope\": \"scope\",\n",[3706,3747,3749],{"class":3708,"line":3748},8,[3706,3750,3751],{},"}\n",[3706,3753,3755],{"class":3708,"line":3754},9,[3706,3756,3757],{"emptyLinePlaceholder":86},"\n",[3706,3759,3761],{"class":3708,"line":3760},10,[3706,3762,3763],{},"def classify_document(title, description):\n",[3706,3765,3767],{"class":3708,"line":3766},11,[3706,3768,3769],{},"    text = f\"{title} {description}\".lower()\n",[3706,3771,3773],{"class":3708,"line":3772},12,[3706,3774,3775],{},"    for keyword, document_type in DOCUMENT_TYPES.items():\n",[3706,3777,3779],{"class":3708,"line":3778},13,[3706,3780,3781],{},"        if keyword in text:\n",[3706,3783,3785],{"class":3708,"line":3784},14,[3706,3786,3787],{},"            return document_type\n",[3706,3789,3791],{"class":3708,"line":3790},15,[3706,3792,3793],{},"    return \"general\"\n",[22,3795,3796],{},"This generates functional code in under a minute but relies on exact keyword presence, ignoring synonyms, context, or ambiguity.",[17,3798,3800],{"id":3799},"developer-workflow-fix-review-and-refactor","Developer Workflow Fix: Review and Refactor",[22,3802,3803],{},"The real work starts post-generation: developers must spot assumptions in the code, like rigid mappings (e.g., \"agreement\" and \"scope\" as \"contract\" or separate). Refactor by prompting for LLM-based classification to handle nuance, such as embedding text and cosine similarity or direct LLM prompting for categories. This pattern repeats often, so always audit AI outputs for over-simplification—quick wins hide scalability issues.",[3805,3806,3807],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":40,"searchDepth":41,"depth":41,"links":3809},[3810,3811],{"id":3688,"depth":41,"text":3689},{"id":3799,"depth":41,"text":3800},[114],{"content_references":3814,"triage":3815},[],{"relevance":83,"novelty":82,"quality":83,"actionability":83,"composite":3816,"reasoning":3817},3.8,"Category: AI & LLMs. The article discusses the limitations of AI coding assistants in generating hardcoded solutions for document classification, addressing a specific pain point for developers who need to ensure their AI outputs are robust and scalable. It provides actionable advice on how to refactor AI-generated code to improve its effectiveness, which is directly applicable to the audience's work.","\u002Fsummaries\u002F52c09fb0d5574887-ai-coders-default-to-hardcoded-keyword-rules-summary","2026-05-06 03:02:16","2026-05-06 16:13:39",{"title":3678,"description":40},{"loc":3818},"52c09fb0d5574887","Generative AI","https:\u002F\u002Fgenerativeai.pub\u002Fwhy-ai-coding-assistants-keep-writing-hardcoded-solutions-eaa05f08b030?source=rss----440100e76000---4","summaries\u002F52c09fb0d5574887-ai-coders-default-to-hardcoded-keyword-rules-summary",[99,98,101],"AI coding assistants generate brittle keyword-matching code for document classification tasks needing judgment, producing working but non-intelligent solutions in under a minute.",[],"kqJ5osP54sjfnupj05EnVgQpmnqa0htsI_G5ptH6waQ",{"id":3832,"title":3833,"ai":3834,"body":3839,"categories":3879,"created_at":47,"date_modified":47,"description":40,"extension":48,"faq":47,"featured":49,"kicker_label":47,"meta":3880,"navigation":86,"path":3891,"published_at":3892,"question":47,"scraped_at":3893,"seo":3894,"sitemap":3895,"source_id":3896,"source_name":3897,"source_type":94,"source_url":3898,"stem":3899,"tags":3900,"thumbnail_url":47,"tldr":3901,"tweet":47,"unknown_tags":3902,"__hash__":3903},"summaries\u002Fsummaries\u002F1b682c7e4ee45c46-637mb-llm-runs-offline-on-base-macbook-air-works-s-summary.md","637MB LLM Runs Offline on Base MacBook Air, Works Surprisingly Well",{"provider":7,"model":8,"input_tokens":3835,"output_tokens":3836,"processing_time_ms":3837,"cost_usd":3838},5208,1356,14310,0.00121275,{"type":14,"value":3840,"toc":3874},[3841,3845,3860,3864,3867,3871],[17,3842,3844],{"id":3843},"effortless-local-setup-delivers-instant-offline-inference","Effortless Local Setup Delivers Instant, Offline Inference",[22,3846,3847,3848,3851,3852,3855,3856,3859],{},"Install Ollama with ",[3703,3849,3850],{},"brew install ollama",", start the server via ",[3703,3853,3854],{},"ollama serve",", and load TinyLlama—a 700MB model based on Llama 2—with ",[3703,3857,3858],{},"ollama run tinyllama",". This three-command process skips Docker, Python environments, API keys, and accounts, downloading the model once for subsequent instant loads. On a base MacBook Air (no GPU or cooling upgrades), responses stream without latency, spinners, or internet—working in tunnels or planes with zero data telemetry, rate limits, or quotas. Tokens appear as fast as local typing, shifting AI from remote servers to a self-contained file.",[17,3861,3863],{"id":3862},"handles-practical-tasks-like-a-junior-dev-fails-on-complexity","Handles Practical Tasks Like a Junior Dev, Fails on Complexity",[22,3865,3866],{},"TinyLlama generates a fully functional Node.js Express server with routes, middleware, error handling, and comments—copy-paste runnable without edits. In casual conversations, it explains REST vs. GraphQL differences naturally, matching a coworker's tone and gently correcting user errors without robotic disclaimers. Limits emerge in long contexts (forgets details), multi-step reasoning (loses track of ideas), and hallucinations (invents nonexistent libraries). Failures resemble a junior developer's gaps—coherent but bounded—not random nonsense, making it viable for autocomplete, email rewrites, error explanations, and summaries.",[17,3868,3870],{"id":3869},"lowers-ai-floor-for-privacy-accessibility-and-everyday-use","Lowers AI Floor for Privacy, Accessibility, and Everyday Use",[22,3872,3873],{},"This setup democratizes AI: embed models in apps for offline assistants, enable learning in low-connectivity areas, process sensitive data without third-party uploads, and eliminate per-token costs. For the 'long tail' of routine tasks, small local models suffice, decoupling utility from massive scale, GPUs, and cloud bills. Frontier models still dominate complex reasoning, but the baseline shifts from paid APIs to free laptop files—challenging 'bigger is always better' narratives. Next steps include editor-integrated coding aids, personal fine-tunes on notes, multi-agent small-model collaborations, and offline RAG over documents.",{"title":40,"searchDepth":41,"depth":41,"links":3875},[3876,3877,3878],{"id":3843,"depth":41,"text":3844},{"id":3862,"depth":41,"text":3863},{"id":3869,"depth":41,"text":3870},[114],{"content_references":3881,"triage":3889},[3882,3884,3886],{"type":53,"title":3883,"context":80},"TinyLlama",{"type":53,"title":3885,"context":80},"Ollama",{"type":3887,"title":3888,"context":60},"other","Llama 2",{"relevance":83,"novelty":82,"quality":83,"actionability":83,"composite":3816,"reasoning":3890},"Category: AI & LLMs. The article discusses the practical application of a lightweight LLM that can run offline, addressing the audience's pain point of integrating AI into their products without heavy infrastructure. It provides a clear setup process and examples of practical tasks the model can handle, making it actionable for developers.","\u002Fsummaries\u002F1b682c7e4ee45c46-637mb-llm-runs-offline-on-base-macbook-air-works-s-summary","2026-05-05 18:01:01","2026-05-06 16:13:47",{"title":3833,"description":40},{"loc":3891},"1b682c7e4ee45c46","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Fi-ran-a-637mb-llm-on-my-base-macbook-air-and-now-im-questioning-everything-cd78287d0ccc?source=rss----98111c9905da---4","summaries\u002F1b682c7e4ee45c46-637mb-llm-runs-offline-on-base-macbook-air-works-s-summary",[98,100,99],"TinyLlama, a 637MB open-source LLM, runs instantly on a stock MacBook Air via Ollama—no internet, GPU, or API needed—handling Node.js servers and casual chats effectively, lowering the bar for useful local AI.",[],"q08Qvpflcgj-8E3EIjojpd_j_dc9AsoFnv5ZNE-FrQc",{"id":3905,"title":3906,"ai":3907,"body":3912,"categories":3940,"created_at":47,"date_modified":47,"description":40,"extension":48,"faq":47,"featured":49,"kicker_label":47,"meta":3941,"navigation":86,"path":3955,"published_at":3956,"question":47,"scraped_at":3957,"seo":3958,"sitemap":3959,"source_id":3960,"source_name":3961,"source_type":94,"source_url":3962,"stem":3963,"tags":3964,"thumbnail_url":47,"tldr":3965,"tweet":47,"unknown_tags":3966,"__hash__":3967},"summaries\u002Fsummaries\u002F141a3d749a2a3a90-kimi-k2-6-equals-opus-on-coding-tasks-faster-10x-c-summary.md","Kimi K2.6 Equals Opus on Coding Tasks, Faster & 10x Cheaper",{"provider":7,"model":8,"input_tokens":3908,"output_tokens":3909,"processing_time_ms":3910,"cost_usd":3911},6007,1627,13788,0.0019924,{"type":14,"value":3913,"toc":3935},[3914,3918,3921,3925,3928,3932],[17,3915,3917],{"id":3916},"match-frontier-models-on-laravel-api-delivery","Match Frontier Models on Laravel API Delivery",[22,3919,3920],{},"Kimi K2.6 generates complete Laravel APIs from project MD specs, producing 5 files (routes, controller, form request, service, tests) with proper structure: injected services, validation rules, try-catch, text cleaning logic, and 33 passing tests. It handles edge cases like failed validation (422 responses) and transliteration issues by iterating fixes. Output mirrors Claude Opus 4.7: both use similar patterns (service\u002Faction injection, JSON responses with success\u002Fdata or text\u002Fstats), taking 3:29 vs Opus's 3:12. Enable Laravel Boost for equivalent test pass rates to Opus, as shown in official Laravel benchmarks where Kimi ties frontier models.",[17,3922,3924],{"id":3923},"accelerate-complex-sites-with-partial-wins-demand-tests","Accelerate Complex Sites with Partial Wins, Demand Tests",[22,3926,3927],{},"For multilingual travel sites (Filament admin, Spatie packages, multi-lang tours\u002Fpages), Kimi finishes in 10 minutes vs 15 for Opus\u002FGPT-4\u002FCodex: installs packages, builds public pages (home, tours, about with translations), admin CRUD, but skips automated tests—opting for localhost curls\u002FTinker checks (fine for public pages, fails for auth-gated admin). It exceeds prior models by auto-translating menus across languages (beyond Opus's English-only). Bug fixes (e.g., Filament translatable tabs 500→302 redirect) succeed via stack trace pasting, confirming via curls. Red flag: no tests generated without prompting, risking undetected breaks—add 'run existing tests and write new ones for all features' to agents.md\u002Fprompts.",[17,3929,3931],{"id":3930},"slash-costs-10x-via-openrouter-access","Slash Costs 10x+ via OpenRouter Access",[22,3933,3934],{},"Access Kimi K2.6 via OpenRouter Zen ($20 top-up): Laravel API costs 36¢ (3:29), site build $1.38 (10 min, 34% context). API pricing undercuts Claude Opus 4.6\u002FGPT-4o by orders of magnitude, enabling long tasks without subscriptions. Speed rivals Cursor Composer (higher code quality), with low context burn (34% on complex build). Use for production Laravel if tests are enforced—delivers frontier-level results cheaper.",{"title":40,"searchDepth":41,"depth":41,"links":3936},[3937,3938,3939],{"id":3916,"depth":41,"text":3917},{"id":3923,"depth":41,"text":3924},{"id":3930,"depth":41,"text":3931},[],{"content_references":3942,"triage":3953},[3943,3945,3948,3950],{"type":53,"title":3944,"context":60},"Open-code",{"type":53,"title":3946,"author":3947,"context":60},"Kimi K2.6","Moonshot",{"type":3887,"title":3949,"context":56},"Laravel official blog benchmark",{"type":3887,"title":3951,"url":3952,"context":60},"AI Coding Daily website","https:\u002F\u002Faicodingdaily.com",{"relevance":83,"novelty":82,"quality":83,"actionability":83,"composite":3816,"reasoning":3954},"Category: AI & LLMs. The article discusses Kimi K2.6's capabilities in generating Laravel APIs and multilingual sites, addressing the audience's need for practical AI tools in product development. It provides specific examples of performance metrics and cost comparisons, making it actionable for developers looking to integrate AI into their workflows.","\u002Fsummaries\u002F141a3d749a2a3a90-kimi-k2-6-equals-opus-on-coding-tasks-faster-10x-c-summary","2026-04-21 07:17:25","2026-04-21 15:20:01",{"title":3906,"description":40},{"loc":3955},"8fb32c971920b669","AI Coding Daily","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=8U1CYrEZPmE","summaries\u002F141a3d749a2a3a90-kimi-k2-6-equals-opus-on-coding-tasks-faster-10x-c-summary",[98,101,99],"Kimi K2.6 builds Laravel APIs in 3:29 (36¢) and multilingual sites in 10 min ($1.38), matching Opus\u002FGPT-4 quality but skipping tests—explicitly prompt for them.",[],"PaZ1Bwq4sw1G_lgsmVZu7DtgL5RlR-9y-mBzwinWs0Y",{"id":3969,"title":3970,"ai":3971,"body":3976,"categories":4027,"created_at":47,"date_modified":47,"description":40,"extension":48,"faq":47,"featured":49,"kicker_label":47,"meta":4028,"navigation":86,"path":4035,"published_at":4036,"question":47,"scraped_at":3957,"seo":4037,"sitemap":4038,"source_id":4039,"source_name":3961,"source_type":94,"source_url":4040,"stem":4041,"tags":4042,"thumbnail_url":47,"tldr":4043,"tweet":47,"unknown_tags":4044,"__hash__":4045},"summaries\u002Fsummaries\u002F58d14019393ca98b-caveman-plugin-barely-cuts-tokens-in-claude-code-t-summary.md","Caveman Plugin Barely Cuts Tokens in Claude Code Tasks",{"provider":7,"model":8,"input_tokens":3972,"output_tokens":3973,"processing_time_ms":3974,"cost_usd":3975},4784,1364,8591,0.00113195,{"type":14,"value":3977,"toc":4022},[3978,3982,3985,3988,3992,3995,4008,4015,4019],[17,3979,3981],{"id":3980},"token-savings-hype-doesnt-hold-for-code-generation","Token Savings Hype Doesn't Hold for Code Generation",[22,3983,3984],{},"Caveman is a Claude Code plugin that shortens AI responses to primitives like comma-separated lists (e.g., \"Plan enum service form request\") instead of full sentences, claiming 65% token cuts per its README and 75% less in a viral Claude AI Reddit post. Examples show single phrases shrinking dramatically, which works for chatty interactions. However, in production-like code tasks, it delivers no measurable savings because  most tokens (high-effort thinking with Opus at 4.7 effort) go to internal reasoning and code output, not terminal communication. Reddit users echo this: \"It's not prompts that cost money, it's thinking\" and \"optimizes the cheapest part of the bill.\"",[22,3986,3987],{},"To benchmark yourself, start a fresh Claude Code session on Anthropic's $100 plan, note baseline usage (e.g., 13%), run a task like implementing a project from a description.md (3-4 minutes for API creation), then recheck (e.g., 17%, or 4% delta). Repeat in a new folder with Caveman installed via a simple slash command—no config needed. Results match: same 4% delta to 21%, despite shorter plan steps and status updates like \"fix tests.\"",[17,3989,3991],{"id":3990},"core-costs-lie-in-thinking-and-code-not-chat","Core Costs Lie in Thinking and Code, Not Chat",[22,3993,3994],{},"Claude Code sessions for substantive work (e.g., full API from spec, passing test suites) use tokens primarily for:",[3996,3997,3998,4002,4005],"ul",{},[3999,4000,4001],"li",{},"High-effort internal planning (majority).",[3999,4003,4004],{},"Code generation and iteration.",[3999,4006,4007],{},"Minimal terminal output, which Caveman targets.",[22,4009,4010,4011,4014],{},"Communication is sparse—short plans, \"Done live,\" green test passes—so even 75% cuts there yield negligible impact. Hype from 40,000 GitHub stars and social media overlooks this: invoke ",[3703,4012,4013],{},"\u002Fcaveman"," manually when chatting iteratively (e.g., discussing implementations), not for autonomous code tasks. Trade-off: ultra-concise output risks clarity loss in complex plans, though tests passed identically.",[17,4016,4018],{"id":4017},"use-sparingly-for-chat-heavy-workflows","Use Sparingly for Chat-Heavy Workflows",[22,4020,4021],{},"Caveman shines in discussion-heavy sessions (e.g., back-and-forth on approaches), potentially hitting 30% savings as some Reddit reports claim. For code gen, skip it—save the slash command for when verbosity bloats chats. Test your own repos: duplicate folders, same prompts, compare session % usage. Bottom line: another hype-buster; no miracles for Opus thinking modes.",{"title":40,"searchDepth":41,"depth":41,"links":4023},[4024,4025,4026],{"id":3980,"depth":41,"text":3981},{"id":3990,"depth":41,"text":3991},{"id":4017,"depth":41,"text":4018},[114],{"content_references":4029,"triage":4033},[4030],{"type":53,"title":4031,"url":4032,"context":80},"Caveman","https:\u002F\u002Fgithub.com\u002Fjuliusbrussee\u002Fcaveman",{"relevance":82,"novelty":82,"quality":83,"actionability":82,"composite":84,"reasoning":4034},"Category: AI & LLMs. The article discusses the practical implications of using the Caveman plugin for AI code generation, addressing a specific audience pain point regarding token usage in production tasks. It provides some actionable benchmarking steps but lacks a comprehensive framework for implementation.","\u002Fsummaries\u002F58d14019393ca98b-caveman-plugin-barely-cuts-tokens-in-claude-code-t-summary","2026-04-20 13:30:09",{"title":3970,"description":40},{"loc":4035},"8fa0bbc8b674e5fc","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=jf1sv2geEWo","summaries\u002F58d14019393ca98b-caveman-plugin-barely-cuts-tokens-in-claude-code-t-summary",[99,98,101],"Caveman claims 65-75% token cuts by shortening AI responses, but real-world Claude Code tests show identical 4% token usage for code implementation tasks—thinking and code gen dominate costs, not communication.",[],"-i9aNYabbHsgyvSg8XfDxrKD-SgtzUs27hg6DC1NG60"]