Claude Code Channels Changed How I Work Away From the Terminal
A month ago I couldn't leave my laptop during a build. Three features in four weeks fixed that.
Developer productivity, workflow automation, and DevOps practices.
27 posts
A month ago I couldn't leave my laptop during a build. Three features in four weeks fixed that.
I thought a single SKILL.md file was enough. Then I saw how Anthropic's own team structures theirs, and rebuilt everything.
Four projects shipped in the last two months show what happens when AI agents handle not just coding but earning, orchestrating, and running entire companies.
Shopify CEO Tobias built QMD, an open-source search engine. Connect it to Claude Code and every session gets persistent memory.
Your AI isn't getting dumber. Your main session is overloaded. Sub-agents keep it lean and accurate for over an hour.
A race condition between Auto Memory and context compaction in Claude Code v2.1.59–v2.1.61 broke prompt caching and corrupted sessions. Anthropic reset all weekly limits as compensation.
Agentation gives AI agents pixel-perfect visual feedback via CSS selectors. Readout replays Claude Code sessions like video. Together they eliminate the two biggest friction points in AI-assisted frontend development.
After building a product with agents overnight, I finally get why Stripe Minions and Ramp Inspect both chose cloud-isolated environments over running everything locally.
When agents push 3,000 commits a day, humans can't review them all. Here's how to build a machine-verified pipeline that catches what people can't.
When an agent repeats the same failing API call, code review won't help. Traces are the new source code for debugging AI agents.
Five SKILL.md body writing principles buried in Anthropic's official documentation. From separating description and body roles to embedding verification loops.
The real competitive edge in the agent era isn't the model - it's filesystem design. Here's how to unify your company's data into one namespace.
Discover Actionbook's revolutionary approach to solving browser agent speed and token cost issues. Manual-based automation delivers 10x speed and 1/100th the cost.
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 launches Cowork, an autonomous agent that reads, edits, and creates files on your local machine. Vibe coding meets vibe working.
Boris Cherny's workflow hit 5K likes in 2 hours. His setup is simpler than you'd expect - parallel sessions, plan mode, CLAUDE.md, and verification loops.
An Anthropic hackathon winner's 10-month Claude Code configuration - context management, hooks, subagents, and the principles that actually matter.
Six Claude Code skill combinations that let a small team run a full-stack business - from marketing and video to UI design and code quality.
After installing hundreds of AI coding agent skills, only 4 made it into my daily workflow. Here's what survived the weekend audit.
A game-style status bar for Claude Code that shows context usage, active tools, sub-agents, and todo progress in real time.
Connecting Context7 via MCP floods your main context with docs. Skills and subagents isolate queries, keeping long coding sessions stable.
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.
How I use Ghostty, Yazi, Fish, and LazyGit to run multiple AI agents in parallel - a lightweight terminal stack built for agentic workflows.