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How they differ

Coding agents vs Productpanda.

Claude, Cursor and Codex build what you tell them. The hard part was never the building. It's knowing what to tell them, remembering to ask, and keeping any of it true a month later.

✓ Keep the agents you already use✓ Nothing merges without your review

The prompt is the bottleneck

A coding agent is only as good as the moment someone sits down, works out what needs doing, gathers the context, and writes the prompt. That person is the constraint, not the model.

And when the session ends, everything the agent understood about your product goes with it. The next task starts from zero, or from whatever fits in a context window.

Productpanda is not a replacement for those agents. It's the part that decides what they should be working on, keeps a model of your product that survives between sessions, and closes the loop after the code ships.

Coding agent alone

Starts when you start

Nothing happens until a person notices the problem, decides it matters, and writes the prompt. Every session begins from an empty room.

Productpanda

Starts when the problem does

A production error or a customer message becomes the trigger. The work is scoped against a model of your codebase that updates itself nightly from your merged commits.

Where the difference actually is

Not in the code generation. In everything around it.

 Coding agent + JiraProductpanda
What starts the workA prompt someone remembers to write.A production error, a customer message, or a cluster of related reports.
Knowledge of your codebaseWhatever fits in the session.A structured model built by analysing every connected repo, kept current nightly from merged commits.
Between sessionsNothing persists. The next task starts over.The product model updates itself; audits are patched rather than regenerated.
After the fix shipsYou close the ticket by hand, if anyone remembers.The merged code is matched back to the report that triggered it, which is marked resolved.
CorrectionsRepeat them every session."We don't do it that way" is kept and applied to later work.
Who approvesYou, at the pull request.You, at every stage. Nothing reaches your repo or your board unreviewed.

Keep your agents. Give them something to work from.

Connect a repo and watch one real issue become a pull request, scoped against your actual architecture rather than a prompt.