Loading...
Loading...
Design a Software Factory for Your Coding Agents live Thursday, Sep 24, 12:00 PM ET
Sep 24, Reserve a seatBuild the system that turns real issues into verified pull requests on your own codebase, with isolation, verification and human control.
You already work with a coding agent, but getting useful code from it still takes constant supervision. It writes a function in seconds, and then you spend the afternoon re-explaining your codebase, checking whether it broke something, and cleaning up the pull request.
The agent is not the problem. There is no system around it: nowhere safe for it to run, no reliable way to give it the right context, and nothing that checks its work before it reaches you.
In this course you build that system on your own codebase. You design the architecture, isolate agent execution in Git worktrees, route context to each task, and add verification that makes agents prove their work. By the final session, a real issue from your backlog becomes a verified pull request waiting for your review.
We start from your codebase, not a sample app. You map the six layers onto your own workflow and decide where agents may act alone. This architecture is what every later session builds on.
You build the execution harness live: an ephemeral Git worktree per task and sandbox boundaries around files, commands and network access. By the end, an agent can change code on your repository without touching your working branch.
You structure repository rules, engineering knowledge and reusable skills so each task receives only the context it needs. We replace a long prompt with a context router and try it on a real task from your backlog.
You add static analysis gates, holdout tests the agent never sees, and a verification step that decides pass or fail. Your harness can reject work that passes superficial checks but fails the required behaviour.
You connect a Doer and a Tester into a loop that returns failures with the reason attached, with exit criteria so it finishes or escalates instead of spinning. Your pipeline can now recover from a failed check without you restarting it.
You connect every layer into one workflow: an issue becomes a task, the task runs in isolation, verification passes, and a pull request opens for human review. This is the pipeline you finish on your own codebase and demo as your capstone.
All times Eastern. Sessions are live and recorded.