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Codela: Production Memory for AI Coding Agents

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Codela gives AI coding agents production memory, checking every deploy against real behaviour and turning reverts and fixes into lessons agents read first.

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Codela is production memory for AI coding agents. It checks every deploy against real production behaviour and turns reverts and fixes into lessons that agents read before they start coding, so the same mistake does not keep coming back in new pull requests. The product launched on Show HN on 9 November 2026. You can see the official site at https://usecodela.com/.

What is Codela?

AI coding agents are fast, but they have no memory of what went wrong last time. A fix that took a human hours to diagnose can be undone by the next agent generated change, because the agent never saw the incident, the revert, or the reason behind the fix. Codela closes that loop. It watches production, learns from what actually happened after a deploy, and feeds those lessons back into the coding workflow before new code is written.

The idea is simple: production is the source of truth about whether code works. Codela treats deploys, reverts and fixes as training material, and makes sure the agent that writes the next change has already read the lessons from the last one.

Key features

  • Deploy checks against real production behaviour, so problems found in production become lessons instead of repeating.
  • Learning from git history combined with observability data from SigNoz, Datadog, Sentry, New Relic and Grafana.
  • Lessons delivered as pull requests into a .codela/lessons.md file in the repository, where agents can read them before coding.
  • Pull request comments that warn when a change repeats a mistake the team has already fixed before.
  • Claude Code plugin, so lessons reach the agent directly inside the coding workflow.

Who is it for?

Codela fits teams that already let AI coding agents write and ship code, and now feel the cost of repeated mistakes. It is useful for developers who review agent generated pull requests and want a warning before a known bad pattern lands again, and for teams running services in production where a revert is a real signal, not just a footnote in git history.

It also fits small teams that cannot afford a dedicated review pass on every agent change. The lessons file gives the agent context it would otherwise lack, and the pull request comments give the human reviewer a second pair of eyes on risky changes.

Pricing

Codela has a free plan that covers 1 repository and 20 pull request checks per month, with no card required. The Pro plan costs $7.99 per person per month and includes unlimited repositories and unlimited pull request checks. You can see current pricing on the official Codela website.

Pricing may change; see the official website for current pricing. Details below reflect the official site as checked on 10 November 2026.

Image: usecodela.com (official product screenshot)

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