Tag:ai-agents
All content with the tag "ai-agents".
Learning from pstack: Build Your Own Reliable Coding Agent Stack
The written version of my TypeScript Meetup Munich talk. What pstack teaches about planning, implementation, review and verification, and how to give your own agent a verification skill that proves its work.
Read More→pstack's Playbooks, Explained as Factorio Factories
pstack's poteto-mode picks one of 23 playbooks for every task. I built ten of them as interactive Factorio-style factories, so you can see why a bug fix, a refactoring and a hillclimb each need a differently shaped factory.
Read More→How VS Code Copilot Chat Compacts Your Conversation
A reference on conversation compaction in VS Code Copilot's agent (now in microsoft/vscode under extensions/copilot): when it triggers, the budget math, what survives, the 8-section summary format, and the config keys. Traced from the source, with interactive diagrams.
Read More→Open Knowledge Format: I Already Do This, and Now It Has a Name
Google Cloud just shipped the Open Knowledge Format: a directory of Markdown files with YAML frontmatter as portable knowledge for AI agents. I already run this in every repo. Here is why having an actual format is the good part.
Read More→The Four Types of Memory for AI Agents (and How Claude Code Implements Each)
Working, semantic, procedural, episodic. The CoALA framework splits agent memory into four kinds. Here is what each one is, and how Claude Code actually implements them on disk.
Read More→Vibe Engineering Effect Apps: Just Clone the Repo
Michael Arnaldi's workshop on building Effect apps with coding agents. The single trick: clone the library repo as a git subtree so the agent reads source code instead of fighting stale docs.
Read More→Next Level GitHub Copilot: Agents, Instructions & Automation in VS Code
Workshop covering the transformation from LLM to Agent, context engineering, AGENTS.md, subagents, and skills in VS Code Copilot.
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