Claude Code with Local LLMs and ANTHROPIC_BASE_URL: Ollama, LM Studio, llama.cpp, vLLM
Native Anthropic endpoints, tool-call compatibility, and context-window sizing for local Claude Code. Last tested: April 2026. See Changelog at the bo…
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🦀 PicoClaw Deep Dive 🤖 — A Field Guide to Building an Ultra-Light AI Agent in Go 🐹
A comprehensive, actionable guide to the principles, techniques, and architecture behind sipeed/picoclaw — written so you can build a similar system f…
От workslop к реальной пользе: как я выбрал и настроил ИИ-агента для Go-разработки (инструкции, конфиги, рекомендации)
В последние 10 лет я стал работать быстрее, но по сути ничего не менялось: я всё так же вручную писал код и тесты. С приходом ИИ я стал искать способы…
LLM-as-Judge: Automated Quality Gate for LLM Outputs in Production
LLM-as-Judge is a pattern where one language model evaluates another model's outputs against defined criteria. An automatic quality gate: every respon…
A Unified View of AI Evolution: From Machine Learning to LLMs, RAG, and Fine-Tuning
Artificial Intelligence has progressed far beyond its early rule-based origins. What once depended on predefined logic has evolved into systems that c…
TradingAgents v0.2.4: A Multi-Agent LLM Framework That Simulates an Entire Trading Firm
TL;DR UCLA Tauric Research released TradingAgents v0.2.4 (2026-04-25) — a LangGraph-based multi-agent LLM framework that mimics a real trading firm wi…
Claude Code это инициативный junior с памятью золотой рыбки. 5 правил контроля для production
За месяц в одиночку написал production-систему анализа цен и продуктов конкурентов с Claude Code. До этого пятнадцать лет управлял командами и бизнеса…
Tesla, Meta, and Google: Nearly $350B in 2026 AI Capex
Book: LLM Observability Pocket Guide Also by me: AI Agents Pocket Guide My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude C…
Senior на бумаге, Junior в рантайме: как я тестировал локальные LLM на 120B параметров в Greenfield-проекте
Недавно я задался вопросом: можно ли организовать полноценный agent dev loop (то есть, цикл разработки агентов), используя только локальные модел…
Reading list (21st to 27th April)
What I am currently reading These are the current online posts that I enjoyed reading and made me think. AI If you are not the model, you are the harn…
LLM бенчмарк «Испытание Дали»
Выбирая LLM для своего первого пет-проекта, я случайно создал бенчмарк для LLM "Испытание Дали" по трем параметрам: качество, скорость и стоимость. Эт…
GEO / AI Search Thread
REPLIES R1 Citation patterns in ChatGPT are not backlink signals in new packaging. Pages that get cited consistently have dense entity co-occurrence —…
Deep Dive into Open Agent SDK (Part 6): Multi-LLM Providers and Runtime Controls
An Agent shouldn't be locked to a single LLM provider. Different tasks suit different models — simple questions use cheap models, complex reasoning us…
(The Voice) Multilingual Layer
The Catalyst: One Language, Many Attack Surfaces The comfortable fiction is: “We wrote English rules, so the model is safe.” The truth: LLMs are multi…
GPT-5.5 Just Dropped. Here's What the Benchmarks Are Hiding.
GPT-5.5 landed April 23, 2026. I've been in the benchmark data since the moment it dropped — and I need to tell you the number OpenAI didn't put in an…
Harness Engineering with Nothing but Markdown
If coding agents aren't your primary battlefield, "harness engineering" probably feels like a distant concept. Scrolling through a timeline full of ar…
The JSON-Mode Prompt Pattern That Survives Claude Version Bumps
Book: Prompt Engineering Pocket Guide My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools Me: …
Your RAG Eval Set Is Probably Wrong. The Test That Catches It.
Book: RAG Pocket Guide Also by me: LLM Observability Pocket Guide My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code an…
Why Your Shipping Speed Hasn't Changed Since You Started Using AI
I'm going to be honest with you. Most engineers using AI assistants today are shipping at the same speed as before. They have Cursor. They have Claude…
5 RAG Failure Modes Nobody Warns You About in the Tutorials
Book: RAG Pocket Guide: Retrieval, Chunking, and Reranking Patterns for Production Also by me: Database Playbook: Choosing the Right Store for Every S…
Why AI Engines Ignore Your Content (Even When They Can Crawl It)
Fixing your robots.txt and disabling Cloudflare Bot Fight Mode is step one. Most developers stop there and wonder why they still don't appear in ChatG…
When my RL agent started writing about Star Wars instead of fixing servers
A Sunday-morning postmortem on teaching a 3B model to do enterprise IT triage with GRPO. It's 1 AM on a Sunday. The Meta × PyTorch OpenEnv Hackathon s…
How to Benchmark LLM Inference Performance: TTFT, ITL, and Throughput Metrics
When deploying large language models to production, measuring performance accurately is critical. Whether you're using vLLM, SGLang, TensorRT-LLM, or …
Наглядный пример, зачем нужны агенты
Расскажу историю длиною в полгода, на которой прекрасно прочувствовал все прелести современных инструментов и способов эксплуатации llm. Идея до жути …
One Open Source Project a Day (No. 48): karpathy/autoresearch —— Launching the Era of Self-Evolving AI Laboratories
Introduction "This may be the story of how it all began." —— Andrej Karpathy This is the No.48 article in the "One Open Source Project a Day" series. …
How to Test LLM-Powered Applications Effectively
How to Test LLM-Powered Applications Effectively Testing a CRUD app is deterministic. You input X, you expect Y, you assert equality. Testing an LLM-p…
DeepSeek V4: Million-Token Context That Actually Works
DeepSeek V4: Million-Token Context That Actually Works Most long-context models are benchmarks in search of a use case. DeepSeek V4 flips the script—i…
Stop Building One Giant Prompt: A Better Way to Design LLM Systems
## Most early LLM apps start the same way: “Let’s just put everything into one prompt and let the model handle it.” So we write a prompt that tries to…
LLM Planning, AI Arguments, and Building Persistent Worlds
LLM Planning, AI Arguments, and Building Persistent Worlds LLM planning is gaining focus, while new tools are emerging to address agent identity and t…
Why Your AI Agent Loses the Plot: Reasoning Decay and Attention Loss in Long-Running Tasks
A reference on why long-running agents fail at depth, the math behind why errors compound, and the architectural patterns that respond to it. title: "…