AI Services Market › Use cases › Software & DevOps
Software & DevOpsDone with custom-built or unnamed agent Oct 16, 2026
Build specs through automated multi-agent verification and review loops
A developer writes a spec, then lets an implementation engine build it with review rounds from different agents and models, triaging issues and looping until the code meets spec.
- What They Did
- The developer defines the product behavior and discusses the technical approach up front, then captures it in a spec. That spec goes to a durable implementation engine, which builds it. Automated verification runs, and different agent types on different models review the code. Issues are grouped into clusters and checked for false positives before being fixed. The developer reviews only code organization and structure.
- How It Went
- The loop repeats until the code matches the spec. The commenter gives no numbers or timings, only the view that single-pass builds, even large ones, come out full of issues.
- Worth Knowing
- The source says the method has no secret: models need repetition and multiple review passes, and it doesn't describe the engine itself or how to set one up.
Try it yourself with custom-built or unnamed agent
Here is my spec in [spec file path]. Implement it in this repo, then run a review round that checks the result against the spec, triages each issue as must-fix, should-fix or ignore, and fixes the must-fix ones. Repeat until the tests pass and every spec item is met or three rounds are done, then give me a summary of what changed and what is still open.