The Skills I Gave My Coding Agent
A tour of the skills my agent framework ships — what each one is for, what it actually does to your repo, and the situation that makes you reach for it. Starting with the one I open almost every day.
[ Read more → ]rafal@arasz:~$ls blog/
Engineering notes, project updates, and technical deep-dives. [ RSS feed ]
The Bill Said Delegate. So I Made It the Default.
Part 2 measured a month of AI agent costs. This is what I changed because of it: my agent framework now picks the right model for each job, refuses hand-offs that name no model, and has a new team-lead role whose only job is routing work.
[ Read more → ]What AI Coding Agents Actually Cost, Part 2: A Full Month of Data
Part 1 compared three agents over two weeks. Part 2 reads 24 days of ccusage data off one machine — $10,453 in API-equivalent estimates, 97.81% cache reads, and the kinds of sessions that actually raise the bill.
[ Read more → ]code-review-graph: When Your AI Agent Needs a Map of Your Codebase
A practical look at code-review-graph — how it builds a structural knowledge graph of your codebase, what it actually found in two real projects, and whether the token savings are real.
[ Read more → ]What AI Coding Agents Actually Cost: Real Usage Data Across 3 Agents
Data-driven comparison of Claude Code, Hermes Agent (via OpenRouter), and GitHub Copilot with real token usage, cost breakdowns, and the 80/20 strategy.
[ Read more → ]Hermes Agent: A Developer-First AI Agent with Deep Integration Hooks
A practical review of Hermes Agent — how it compares to Claude Code, its hook system for prompt customization, token-friendly skill design, and why it pairs well with ai-badger.
[ Read more → ]Introducing ai-badger: A Portable Agent Framework for the Multi-Agent Era
What ai-badger is, how the stack×feature catalog model works, and why portable agent knowledge matters when you run Claude Code, Hermes, Copilot, and Junie side by side.
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