Parallel Execution Optimizer

Core Pattern

1. Define the objective and done signal.
2. Split work into lanes.
3. Mark each lane as parallel, sequential, or gated.
4. Run independent reads/checks together.
5. Keep writes isolated by file, worktree, branch, service, or dataset.
6. Merge only after evidence shows the lanes are compatible.
7. End with a verification table, not a vague speed claim.

Lane Matrix

Lane | Can run in parallel? | Write surface | Risk | Verification
Repo scan | yes | none | low | rg/git status outputs
Backend patch | maybe | src/api | medium | unit tests
Frontend patch | maybe | app/components | medium | browser screenshot
Deploy readback | after build | remote service | high | live URL + logs

Execution Rules

• Batch file reads, searches, status checks, and metadata queries.
• Use isolated worktrees for large unrelated implementation lanes.
• Start long-running tests, builds, backfills, and deploys in separate sessions, then poll them deliberately.
• If a lane discovers a blocker that changes the plan, pause dependent lanes and update the matrix.
• Never let a background process outlive the turn unless the user explicitly asked for a continuing service.
• Do not parallelize destructive commands, migrations, writes to the same table, or live customer-impacting deploys without an explicit gate.

Output Shape

Parallel execution result:
- Lanes run: 5
- Lanes completed: 4
- Blocked lane: deploy readback, waiting on DNS propagation
- Fast path found: batched repo scan + focused tests
- Verification: lint pass, unit pass, live smoke pass

Failure Modes

• More concurrency that creates conflicting edits.
• Benchmarking the tool instead of the task.
• Treating "fast" as done before correctness is proven.
• Forgetting to poll running sessions.
• Hiding skipped checks behind a success summary.