Beyond the Three Steps: Mastering Full‑Scope Superpowers Workflows for Smooth Merges

Introduction

Even after mastering the three‑step “brainstorm → write‑plan → execute‑plan” flow, developers still hit problems such as long AI runs, huge diffs, or hidden bugs. The root causes are wrong execution mode, a loose quality loop, and unfinished branches.

What makes a workflow “advanced”?

Advanced use means being able to (1) choose the right path – full sub‑agent automation or batch checkpoints with optional Git worktree isolation; (2) tighten the quality loop with TDD, systematic debugging, verification before completion, and code review; (3) finish the development branch cleanly.

When to upgrade from the three‑step flow

Use the self‑check table: if changes affect multiple modules or people, if tasks can be split into 2‑5 minute steps and need long‑running AI, or if money/security data is involved, choose batch checkpoints; otherwise, sub‑agent‑driven automation is preferred.

Choosing execution mode

Sub‑agent‑driven development (automatic)

Suitable when the task boundary is clear, the plan is documented, and each step has two review gates (spec alignment and code quality). Treat yourself as a producer setting direction, not a line‑by‑line monitor.

Batch execution plans (controlled)

Use when requirements have gray areas or affect external contracts; run a batch, review diff and tests, then continue. Checkpoints give more control and often reduce total time by avoiding rework.

Quality pipeline

Four tightly linked stages replace ad‑hoc habits:

Test‑Driven Development – write failing tests, write minimal code to pass, then refactor.

Systematic Debugging – reproduce, find root cause, validate a single hypothesis before changing code.

Verification Before Completion – record which commands ran, exit codes, and passing cases as evidence.

Code Review – the gate before merge that blocks unresolved issues.

Environment and cleanup

Using git worktree creates a clean directory and baseline for each feature, keeping AI‑generated diffs readable and roll‑back‑able. “Finishing a development branch” adds merge strategy and worktree cleanup to the Definition of Done.

Parallel agents

Parallel dispatch is safe only when tasks are independent, have no shared mutable state, and lack hard ordering constraints. Typical fits: unrelated modules, parallel docs generation, independent bug fixes. Misuse leads to conflict hell.

Common pitfalls

Overly coarse planning.

Treating automation as “no supervision”.

Incorrect parallelism.

Skipping verification.

Mini case study

For a change affecting order, inventory, and payment, the recommended path is: brainstorm contract and rollback, isolate with Git worktree, run batch execution (order API + contract tests), avoid parallelism unless dependencies are frozen, then apply TDD, verification, systematic debugging, code review, and finish the branch.

Default recipe for medium‑large changes

Finalize brainstorming and document.

Set up a clean worktree.

Write a plan broken into file‑level tasks with verification commands.

Choose sub‑agent or batch execution based on risk.

Run TDD and verification; on failure, use systematic debugging.

Request code review.

Finish the development branch and clean up.

Conclusion

The three‑step intro gets you started; the advanced workflow ensures you can deliver safely and reliably.