7 posts
A practical, plain-spoken manual for building software with an AI agent: the setup, the loop, context management, and verified Claude Code and Copilot commands. Written like the old Linux HOWTOs, by someone who runs it daily.
Microservices used to be a tax a solo builder could not afford. AI agents change that math. Here is why I am drawn to the architecture for what I build next, and the discipline that keeps it from becoming a mess.
The suit never replaced Tony Stark. It amplified him. That is the closest thing I have to a description of what it feels like to build software in agent mode, directing one or many agents and scaling your own thought and output.
This site was rebuilt from scratch by directing an AI agent, then migrated off cPanel onto AWS S3 and CloudFront. Here is what that actually looked like, the parts that worked, and the day a deploy script quietly deleted production.
Autonomous mode is when the agent runs the whole loop without you in it: plan, act, check, repeat, until the task is done or it gets stuck. Here is what that means, how it differs from agent mode, and where the real risk lives.
A practical, repeatable workflow for building software with an AI agent: specify, delegate, verify, record. The loop I actually run every day, with the parts that keep it from turning into slop.
Agent mode is when you stop typing code and start directing an AI that reads your codebase, writes the change, runs the tests, and reports back. Here is what it actually is, how the loop works, and when to reach for it, from someone who ships production systems this way.