“The order handler is broken” sounds like a diagnosis. To an engineering team, it is still a hypothesis. If an AI agent cannot show the data path, the relevant file, and a way to test another explanation, the suggested fix may simply move the problem elsewhere.
Start with a reproducible symptom
State expected and actual behavior, the input, the project revision, and a minimal example. Scope the task to an authorized repository and the relevant flow. Avoid asking for unrelated improvements in the same request.
Ask where the data enters, which functions it passes through, and which files support the suspected cause. Add a fourth question: what observation would disprove the hypothesis? This helps separate a code explanation from a plausible story.
Imagine an order that appears twice in a total after a return. “Check deduplication” is too broad. A useful investigation points to where the event receives its identifier, where it is applied again, and under which condition. A developer verifies the file citations against the current branch and the event log. If the log is missing, the agent should name that gap.
Read first, change second
In yCode, the free mode supports read-only explanations, reviews, and plans for an authorized project. Editing files and running checks require the appropriate paid access. A subscription does not automatically connect GitHub or your local computer; repository authorization is separate.
For an implementation task, request a bounded diff, the list of changed files, recorded results from relevant checks, and remaining risks. An empty Checks view does not mean tests passed. A completed agent task does not publish code automatically: the team reviews the result and follows its normal merge and release process.
The yCode project-review guide helps you choose an initial task mode. Explore Yasnora AI, part of the Wicsora ecosystem.
A good standard: another engineer can open the cited files and independently verify the proposed causal chain.
