How can separate AI sessions perform software engineering, code review, and QA roles?
Coordinate AI engineering, review, and QA sessions with shared requirements, isolated workspaces, explicit handoffs, and reproducible findings.
How can separate AI sessions perform software engineering, code review, and QA roles?
Separate AI sessions can focus on implementation, code review, and quality assurance. Giving each session a distinct objective encourages different checks, but it does not guarantee independent judgment or eliminate shared model limitations.
Define each session's assignment
The engineering session implements a bounded feature using the approved documents. The review session inspects the proposed changes for defects, permission errors, and contract mismatches. The QA session exercises specified journeys or prepares a test plan, depending on the tools and environment it can actually access.
Give all sessions the same requirements and identify the version under examination. For an event dashboard, that includes organizer permissions, date rules, and expected loading and failure states.
Isolate mutable work
Concurrent coding sessions should use separate checkouts or worktrees. Git supports multiple worktrees for distinct working directories. Separate branches inside one shared directory do not prevent agents from overwriting each other's files.
A reviewer can inspect a fixed diff without editing it. QA should use a stable application build and separate fixtures when its actions modify data. Record the commit or snapshot so reported findings match the code the engineer will investigate.
Exchange findings through clear handoffs
A useful review finding identifies the affected code, the triggering condition, and the user impact. A QA report includes steps and expected versus actual behavior. The engineer confirms the issue, fixes it, and requests targeted verification.
The developer reconciles conflicting advice and decides when acceptance criteria are satisfied. Parallel sessions can shorten feedback cycles, but coordinated ownership and evidence make their work useful. Three affirmative responses are not equivalent to three independent proofs that the application is correct.
No. It can propose scenarios or inspect code, but it should distinguish those activities from executing the flow in a running browser.
The engineer needs to know which implementation produced the finding. A stable version prevents confusion when the feature changes while review or QA continues.
The responsible developer evaluates the evidence against requirements and technical constraints. Ask for concrete consequences and reproduction details rather than deciding by the number of agreeing agents.
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