There is a familiar kind of wasted hour in agent-assisted development.
An agent finds a bug. It proposes the obvious fix. You explain that the obvious fix broke production last time because of one constraint hidden in a previous investigation. The agent adjusts. A week later, a new session proposes the same fix again.
The problem is not that the model is bad at debugging. The context died where the work ended.
The durable part of a debugging session is usually much smaller than the transcript:
- Symptom: what the user or system actually did.
- Cause: the confirmed mechanism, not the initial guess.
- Constraint: the tempting fix that must not be used and why.
- Verification: the test or production signal that proves the repair.
After a real incident or hard bug, store that four-part record. It gives the next agent a chance to avoid the same false start without pretending that a memory replaces investigation.
Example:
Symptom: callback succeeds locally but fails after deploy. Cause: the deployed origin differs from the configured redirect origin. Constraint: do not accept arbitrary redirect URLs as a workaround. Verification: complete the sign-in flow from a clean browser session.
That is more useful than "we fixed OAuth once." It is also safer than pasting an entire incident transcript into every new prompt.
Shared memory should make agents better at asking the right first question. It should not turn stale notes into unquestioned truth.
I built StremAI to make these compact lessons available across connected agent sessions. The entry stays attributable and human-readable, so a developer can inspect, correct, archive, or erase it when reality changes.
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