Subagent Driven Development

Subagent-Driven Development

Execute a plan by dispatching a fresh subagent per task, with a two-stage review after each: spec compliance first, then code quality.

Why subagents: each task goes to an agent with isolated context. You craft its brief precisely so it stays focused; it never inherits your session history. This also preserves your own context for coordination.

Core principle: fresh subagent per task + two-stage review (spec, then quality) = high quality, fast iteration.

Run continuously. Don't check in between tasks — execute every task without stopping. This is the autonomous loop you want: keep going until done. Stop only for a BLOCKED status you can't resolve, genuine ambiguity, or all tasks complete. "Should I continue?" prompts waste time.

When to use

You have a plan, tasks are mostly independent, you want to stay in this session. If tasks are coupled, use executing-plans (run them inline).

Start on a feature branch (or a worktree if you'll run agents in parallel) — see using-git-worktrees. Never start on main/master.

The loop

Read plan once → extract ALL tasks with full text + context → create task list
For each task:
  1. Dispatch implementer (implementer-prompt.md) with the full task text
  2. It asks questions? → answer, re-dispatch
  3. It implements (Red-Green TDD), tests, commits, self-reviews
  4. Spec reviewer (spec-reviewer-prompt.md) → issues? implementer fixes → re-review until ✅
  5. Code-quality reviewer (code-quality-reviewer-prompt.md) → issues? fix → re-review until ✅
  6. Mark complete
After all tasks → final reviewer over the whole diff → prove it runs → PR

Spec compliance is reviewed before code quality, never the reverse.

Model selection

Least powerful model that can do each role:

• Mechanical (1-2 files, complete spec) → fast, cheap model.
• Integration / judgment / debugging → standard model.
• Architecture / design / review → most capable model.

Implementer status

• DONE → spec review.
• DONEWITHCONCERNS → read them. Correctness/scope → address before review.

Observations → note and proceed.

• NEEDS_CONTEXT → provide it, re-dispatch.
• BLOCKED → context problem → more context, same model; needs reasoning →

more capable model; too large → split; plan is wrong → escalate to the user.

Never force the same model to retry with no change. If it's stuck, something has to change.

Prompt templates

• implementer-prompt.md · spec-reviewer-prompt.md ·

code-quality-reviewer-prompt.md

Fill the bracketed slots and give the subagent the full task text — don't make it read the plan file.

Finish

After the final review, prove it runs (tests green + actually run it / drive the UI with agent-browser), then your normal loop:

git push -u origin  && gh pr create --fill
gh pr merge --squash --delete-branch && git switch main && git pull

Confirm before the merge unless told to run it through. Working an issue queue? Repeat from the next issue.

Never

• Start on main/master without consent.
• Skip a review, or start code-quality before spec compliance is ✅.
• Move to the next task with either review still open.
• Run multiple implementers in parallel on the same plan (they conflict — that's

dispatching-parallel-agents, for independent domains).

• Make the subagent read the plan file (give it the full task text).
• Skip scene-setting context, ignore the subagent's questions, or let self-review

replace real review.

• Fix a failed task by hand (context pollution) — dispatch a fix subagent.

Related

• writing-plans (creates the plan) · using-git-worktrees (isolation) ·

dispatching-parallel-agents (independent problems) · executing-plans (inline alternative). Subagents follow incremental-implementation + Red-Green TDD per task.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: hdprajwal
• Source: hdprajwal/agent-skills
• License: MIT

Install and usage instructions live in the source repository linked above.