AI software factory
CodePress connects autonomous coding, production-like environments, live QA, PR review, and independent verification into one loop that can keep working for days.
Our own team went from 80 to 400 PRs per month. One production rearchitecture ran for three days and 275 agent turns before the system marked it ready to merge.
The input
Give CodePress a GitHub issue, a production alert, or a clear engineering goal. It reads the existing codebase and company-specific rules before it changes anything.
The loop
Code generation is only the first pass. CodePress runs the application, performs live QA, reviews the pull request, returns failures to the working agent, and repeats until the evidence is strong enough.
The output
Engineers keep control of architecture, priorities, and merge. The factory handles the repetitive implementation and verification work required to bring a change to that decision point.
The expansion
Once the engineering loop is trusted, add specialized agents for PR review, Sentry resolution, database performance, documentation, CI repair, and production design changes.
Common questions
No. The important layer is the repeatable engineering system around the agents: context, environments, quality gates, review, evidence, repair loops, and human control.
No. CodePress is model-independent and supports CodePress-managed models as well as supported API keys and model subscriptions.
Start with one repository and one meaningful but bounded task. We help configure the environment and verification path before expanding to additional workflows.