Original Reddit post

Five weeks ago we made an always-on AI agent pipeline our primary development workflow across almost every client project we run. It’s a custom-built coding AI framework we developed in-house, based on our engineering principles and goals, layered on top of Claude Code. Since rolling it out, our cost of launching and maintaining production software is down by at least 60%, and most tickets (bugs, improvements and new features) are in a PR for human review within 15 minutes (!!!) of being filed. A PM or QA on our team logs a ticket in Linear or Jira. The intake agent picks it up with full project context already loaded. Instead of just taking whatever’s in the ticket at face value, it asks clarifying questions while the change is still fresh in the head of whoever filed it. It also predicts likely side effects from the proposed change before any code is written - like “changing the character limit here will cause a rendering issue with notifications, which have a hard limit downstream. Is that intended?” That alone kills enough tickets to matter before a developer ever looks at them. Tickets have been everything from bugs to design and copy changes to minor improvements to complex features. PM agent writes the spec. Developer agent implements it. QA agent runs the implementation against the spec the PM wrote. If QA finds an issue, the dev agent gets retriggered with the failure context until the spec is satisfied. Then a PR opens for one of our senior engineers to review before anything ships. Nothing reaches prod without a human in the loop. The custom framework underneath is what lets this handle genuinely complex bugs and edge cases. The agents have full project context loaded, including how a change in one place ripples through the rest of the codebase. They aren’t limited to one-line fixes. Most of what we route through this pipeline used to need a senior engineer to scope from scratch. This pipeline now runs 24/7 and has skyrocketed productivity. It’s crazy how effective this has proven to be. submitted by /u/mosane123

Originally posted by u/mosane123 on r/ArtificialInteligence