Gu-log Picks

Karpathy used DeepWiki MCP and GitHub CLI to have Claude rip fp8 training out of torchao into 150 self-contained lines that ran faster. His bacterial code idea favors low-coupling, dependency-free code agents can extract and transplant.

The original article builds a personal AI content factory with Obsidian + Claude. We rewrite it from a Tech Lead's perspective — managing a 6-person backend team with an AI-native doc system called orion-dev-doc.

OpenClaw's context is just a filesystem on your computer. What if a company worked the same way? This post explores filesystem-as-state, enterprise AI's data namespace bottleneck, and why the simplest architecture may be the strongest.

Obsidian v1.12 ships an official CLI that lets you control your entire vault from the terminal. On the surface it's a power user tool — underneath, it's paving the road for AI agents. This article covers the full CLI command reference and demonstrates real Claude Code + Obsidian CLI workflows.

Anthropic's 2026 Agentic Coding Trends Report highlights multi-agent adoption, the Papercut Revolution for tech debt, self-healing code, and Claude Code hitting $1B ARR. TELUS and Rakuten case studies show developers shifting from code writer to system orchestrator.

Flask creator Armin Ronacher explains why he uses Pi, Mario Zechner's minimal coding agent with four tools: Read, Write, Edit, Bash. Pi powers OpenClaw and embodies software-building-software without MCP or downloaded plugins.

Anthropic launched Claude for Nonprofits with up to 75% discounts, frontier model access, nonprofit integrations, and an AI Fluency course. Case studies span epilepsy support, benefits discovery, and IDinsight, with a Taiwan GuangFuHero angle.

Junde Wu built OneContext after getting fed up with coding agents forgetting between sessions. It uses filesystem, Git, and knowledge graphs to work across sessions, devices, Claude Code, and Codex; the GCC paper hits 48% on SWE-Bench-Lite.

Michael Bloch asks what becomes more valuable when AI intelligence is nearly free. His 12 endgame positions include energy, atoms, capital, regulation, trust, proprietary data, attention, network effects, operations, security, physical space, and intelligence itself.

Dr. Alex Wissner-Gross's daily tech briefing: AI agents as full-time employees in China, OpenAI banning human coding, Claude Opus 4.6 topping benchmarks, rabbit brain cryopreservation, $1 trillion chip sales, SpaceX dismantling the Moon for data centers — and a pig that actually flew

HashiCorp co-founder Mitchell shares his 6-step journey from AI skeptic to 'can't go back' — drop the chatbot, reproduce your work with agents, and end-of-day agent sessions

Karel (OpenAI researcher) shares how he burns billions of Codex tokens: agents writing their own notes, crawling Slack, analyzing data, and generating 700+ hypotheses. He now talks to one agent that orchestrates everything else.

OpenAI co-founder Greg Brockman publicly reveals how OpenAI is transforming to agentic software development internally. By March 31st, agents should become the first resort for all technical tasks. Includes six concrete recommendations, including 'Say no to slop' on code quality.

Part 2 of the series: From SOUL file design to real disaster stories — TARS going dark for 3 days while traveling, context overflow crashes, rate limit surprises. Plus emergency procedures: what to do if your agent gets compromised.

Crypto guy Jordan Lyall spent a week researching security before installing OpenClaw — this is the security guide he wished existed, written for people who don't want to become the next victim

Anthropic released Opus 4.6 with Claude Code Agent Teams: a lead agent can delegate to multiple teammates working in parallel — researching, debugging, and building simultaneously. Boris Cherny says: it's powerful, but it burns tokens like crazy.

Operating systems solved memory fragmentation with paging decades ago. vLLM brought that same trick to GPUs, added block hashing and prefix caching, and made prompt caching a reality. Series finale — every puzzle piece clicks into place.

Part 1 taught you how to save money. Part 2 explains why those tricks work. From the two stages of LLM inference (prefill/decode) to KV cache fundamentals to the GPU memory crisis that makes naive caching fall apart at scale. (Part 2 of 3)

An AI engineer stuffed user-specific data into the system prompt, watched his bill double, and learned his lesson. Plus six practical tips to consistently hit prompt cache. (Part 1 of 3)

Cursor's Head of Design Ryo Lu says AI coding creates a new trap — the 'illusion of speed without structure.' People who can't think clearly just generate slop at scale.