24 posts
What LangChain's Terminal Bench results and the hashline format experiment revealed. The same model flipped leaderboard rankings, and the reasons came down to three things: prompts, tools, and middleware.
Peter Steinberger joining OpenAI isn't just a talent grab. It signals the dawn of AI-native messengers that could redefine how we communicate.
OpenAI's Codex team built a 1M-line codebase using only AI agents. Here are the five harness engineering principles they discovered along the way.
A practical guide to Claude Code's new multi-agent teams feature: activation, keyboard shortcuts, terminal compatibility, task management, and known limitations.
OpenAI and Google are racing to launch affordable AI plans while Chinese competitors shatter price floors. Here's why this moment is your best entry point.
Anthropic's Tariq Shihipar breaks down what it actually takes to build production-grade agents - from Bash-first tooling to file-system-driven context engineering.
Claude Code renamed Todo to Task. It looks like a small change, but it marks the beginning of a completely different system - one built for AI swarms.
Clawdbot proved that AI agents running locally on your own hardware can replace messenger apps. Here's why that threatens every chat platform.
Why YC and OpenClaw leaders believe software is being rebuilt for agents - and what it means for developers building products right now.
With AI reading 50% of developer docs and bot traffic outpacing humans 3-to-1, services are racing to package their knowledge as agent skills. Here's what's driving the shift.
Andrej Karpathy admits he's never felt this behind as a developer. Here's the new AI agent abstraction layer he says you must master - or risk falling 10x behind.
The file-based memory system behind Manus's $2.5 billion valuation is now a free Claude Code skill. Here's why it matters for every AI agent builder.
Manus shared the hard-won lessons behind building production AI agents - from context rot to evaluation rethinking - in a joint presentation with LangChain.
Meta acquired Manus for $3.6 billion. The secret wasn't a bigger model - it was context engineering. Here's what most AI agents get wrong.
Not all multi-agent patterns are equal. Learn when subagents, skills, handoffs, and routers actually outperform a single agent - with real scenarios and numbers.
Orchestration patterns, communication methods, memory management, and production pitfalls - a practical breakdown of everything I struggled with when designing multi-agent systems.
A deep dive into Oh-My-OpenCode's multi-agent orchestration architecture - how programmatic context isolation, parallel execution, and evidence-based research are redefining what AI coding agents can do.
Opencode's open-source documentation doubles as an introductory guide to agent architecture. Here are the seven core concepts every developer should understand.
How a Claude Code plugin named after Ralph Wiggum is redefining autonomous coding through iterative loops, memory architecture, and stop hooks.
Six battle-tested AI agent patterns that emerged globally in one month - from persistent loops to multi-agent orchestration.
Context engineering took the world by storm in early 2026. Here are six battle-tested principles from Manus, Cursor, and Claude Code that define modern AI agent development.
Peter Steinberger, who built GitHub's fastest-starred project, shares 10 hard-won principles for working with AI coding agents.
Anthropic replaced TodoWrite with Tasks and Slash Commands with Skills in two days. Both changes point in the same direction - unhobbling the model.
Claude Code and AI avatar apps prove users want results, not complex interfaces. The Zero UI era is approaching faster than we think.