| name | subagent-driven-development |
| description | Use when executing implementation plans with independent tasks in the current session |
Subagent-Driven Development
Execute plan by dispatching fresh subagent per task, with a single read-only task review after each — one reviewer returns a spec-compliance verdict and a code-quality verdict in one pass.
Why subagents: You delegate tasks to specialized agents with isolated context. By precisely crafting their instructions and context, you ensure they stay focused and succeed at their task. They should never inherit your session's context or history — you construct exactly what they need. This also preserves your own context for coordination work.
Core principle: Fresh subagent per task + a single read-only task review (spec + quality verdicts in one pass) = high quality, fast iteration
Continuous execution: Do not pause to check in with your human partner between tasks. Execute all tasks from the plan without stopping. The only reasons to stop are: BLOCKED status you cannot resolve, ambiguity that genuinely prevents progress, or all tasks complete. "Should I continue?" prompts and progress summaries waste their time — they asked you to execute the plan, so execute it.
When to Use
digraph when_to_use {
"Have implementation plan?" [shape=diamond];
"Tasks mostly independent?" [shape=diamond];
"Stay in this session?" [shape=diamond];
"subagent-driven-development" [shape=box];
"executing-plans" [shape=box];
"Manual execution or brainstorm first" [shape=box];
"Have implementation plan?" -> "Tasks mostly independent?" [label="yes"];
"Have implementation plan?" -> "Manual execution or brainstorm first" [label="no"];
"Tasks mostly independent?" -> "Stay in this session?" [label="yes"];
"Tasks mostly independent?" -> "Manual execution or brainstorm first" [label="no - tightly coupled"];
"Stay in this session?" -> "subagent-driven-development" [label="yes"];
"Stay in this session?" -> "executing-plans" [label="no - parallel session"];
}
vs. Executing Plans (parallel session):
- Same session (no context switch)
- Fresh subagent per task (no context pollution)
- One task review after each task: spec-compliance and code-quality verdicts in a single read-only pass
- Faster iteration (no human-in-loop between tasks)
Pre-Flight Plan Review
Before dispatching Task 1, scan the plan once for conflicts:
- tasks that contradict each other or the plan's Global Constraints
- anything the plan explicitly mandates that the review rubric treats as a defect (a test that asserts nothing, verbatim duplication of a logic block)
Present everything you find to your human partner as one batched structured question — each finding beside the plan text that mandates it, asking which governs — before execution begins, not one interrupt per discovery mid-plan. If the scan is clean, proceed without comment. The review loop remains the net for conflicts that only emerge from implementation.
The Process (Sequential Mode)
This section describes sequential execution — one task at a time in a shared epic worktree. This is the default when tasks have dependencies or only one task is unblocked. For parallel execution of independent tasks, see Parallel Batch Mode below.
digraph process {
rankdir=TB;
subgraph cluster_per_task {
label="Per Task";
"Dispatch implementer subagent (./implementer-prompt.md)" [shape=box];
"Implementer subagent asks questions?" [shape=diamond];
"Answer questions, provide context" [shape=box];
"Implementer subagent implements, tests, commits, self-reviews" [shape=box];
"Dispatch task reviewer subagent (./task-reviewer-prompt.md)" [shape=box];
"Task reviewer: spec compliant AND quality approved?" [shape=diamond];
"Implementer subagent fixes findings" [shape=box];
"bd close <task-id> --reason 'Completed'" [shape=box];
}
"Read plan, extract all tasks, create epic bead + child beads (bd create)" [shape=box];
"More tasks remain?" [shape=diamond];
"Dispatch final code reviewer subagent for entire implementation" [shape=box];
"Use beads-superpowers:finishing-a-development-branch" [shape=box style=filled fillcolor=lightgreen];
"Read plan, extract all tasks, create epic bead + child beads (bd create)" -> "Dispatch implementer subagent (./implementer-prompt.md)";
"Dispatch implementer subagent (./implementer-prompt.md)" -> "Implementer subagent asks questions?";
"Implementer subagent asks questions?" -> "Answer questions, provide context" [label="yes"];
"Answer questions, provide context" -> "Dispatch implementer subagent (./implementer-prompt.md)";
"Implementer subagent asks questions?" -> "Implementer subagent implements, tests, commits, self-reviews" [label="no"];
"Implementer subagent implements, tests, commits, self-reviews" -> "Dispatch task reviewer subagent (./task-reviewer-prompt.md)";
"Dispatch task reviewer subagent (./task-reviewer-prompt.md)" -> "Task reviewer: spec compliant AND quality approved?";
"Task reviewer: spec compliant AND quality approved?" -> "Implementer subagent fixes findings" [label="no"];
"Implementer subagent fixes findings" -> "Dispatch task reviewer subagent (./task-reviewer-prompt.md)" [label="re-review"];
"Task reviewer: spec compliant AND quality approved?" -> "bd close <task-id> --reason 'Completed'" [label="yes"];
"bd close <task-id> --reason 'Completed'" -> "More tasks remain?";
"More tasks remain?" -> "Dispatch implementer subagent (./implementer-prompt.md)" [label="yes"];
"More tasks remain?" -> "Dispatch final code reviewer subagent for entire implementation" [label="no"];
"Dispatch final code reviewer subagent for entire implementation" -> "Use beads-superpowers:finishing-a-development-branch";
}
Checking for remaining tasks: Use bd ready --parent <epic-id> to see remaining unblocked child tasks. Use bd epic status <epic-id> for a summary view of completion percentage. When bd ready returns no results for the epic, all tasks are complete.
--claim consent boundary. This skill's autonomous take-next / batch-dispatch flow is the one place bd ready --claim is legitimate. That autonomous --claim is FORBIDDEN wherever the user picks the work (orientation, brainstorming, session close) — the consent gate binds even when this skill is not loaded.
Parallel Batch Mode
When bd ready --parent <epic-id> returns multiple unblocked tasks, those tasks have no dependencies between them and can execute in parallel — each in its own isolated bd worktree.
Core principle: One bd worktree per task + parallel dispatch = safe concurrency with per-task rollback.
Parallel cap: Maximum 5 subagents per batch. If more tasks are unblocked, split into batches of 5.
Before you fan out (orchestrator-only)
Worktrees isolate files, not assumptions — parallel agents on different files can still diverge on an un-prescribed shared decision (MAST FC2). Before dispatching:
- Front-load shared decisions — list every decision ≥2 agents depend on (schemas, naming, interfaces, conventions); decide each once and write it verbatim into every agent prompt.
- Share full context, not summaries — give each agent the relevant traces/facts, not a lossy digest.
This is orchestrator discipline applied before dispatch; do not ask subagents to coordinate with each other.
Batch Execution Flow
digraph parallel_batch {
rankdir=TB;
"bd swarm validate <epic-id>" [shape=box];
"bd ready --parent <epic-id>" [shape=box];
"How many unblocked?" [shape=diamond];
"0: All done → finishing-a-development-branch" [shape=box style=filled fillcolor=lightgreen];
"1: Sequential mode (run in epic worktree)" [shape=box];
">1: Parallel batch" [shape=box];
"Create bd worktree per task (max 5)" [shape=box];
"Dispatch subagents in parallel (one Agent call per task, all in one message)" [shape=box];
"Task review per task (single reviewer)" [shape=box];
"All reviews pass?" [shape=diamond];
"Merge passed task branches into epic worktree" [shape=box];
"bd worktree remove completed tasks" [shape=box];
"Run full test suite on epic worktree" [shape=box];
"Integration tests pass?" [shape=diamond];
"systematic-debugging → fix" [shape=box];
"Handle failed tasks" [shape=box];
"bd swarm validate <epic-id>" -> "bd ready --parent <epic-id>";
"bd ready --parent <epic-id>" -> "How many unblocked?";
"How many unblocked?" -> "0: All done → finishing-a-development-branch" [label="0"];
"How many unblocked?" -> "1: Sequential mode (run in epic worktree)" [label="1"];
"1: Sequential mode (run in epic worktree)" -> "bd ready --parent <epic-id>" [label="after task completes"];
"How many unblocked?" -> ">1: Parallel batch" [label="2-5+"];
">1: Parallel batch" -> "Create bd worktree per task (max 5)";
"Create bd worktree per task (max 5)" -> "Dispatch subagents in parallel (one Agent call per task, all in one message)";
"Dispatch subagents in parallel (one Agent call per task, all in one message)" -> "Task review per task (single reviewer)";
"Task review per task (single reviewer)" -> "All reviews pass?";
"All reviews pass?" -> "Merge passed task branches into epic worktree" [label="yes"];
"All reviews pass?" -> "Handle failed tasks" [label="some failed"];
"Handle failed tasks" -> "Merge passed task branches into epic worktree" [label="merge passing tasks"];
"Merge passed task branches into epic worktree" -> "bd worktree remove completed tasks";
"bd worktree remove completed tasks" -> "Run full test suite on epic worktree";
"Run full test suite on epic worktree" -> "Integration tests pass?";
"Integration tests pass?" -> "bd ready --parent <epic-id>" [label="yes → next batch"];
"Integration tests pass?" -> "systematic-debugging → fix" [label="no"];
"systematic-debugging → fix" -> "Run full test suite on epic worktree";
}
Parallel Batch Walkthrough
1. Orchestrator creates epic worktree (once, at the start):
bd worktree create .worktrees/<epic-name>
2. Analyze the work graph before dispatching:
bd swarm validate <epic-id>
→ Shows wave structure (which tasks can run concurrently vs sequentially),
max parallelism, estimated worker-sessions, and dependency warnings.
Use this to plan batch sizes and catch missing dependencies before
wasting subagent runs on tasks that will block.
3. Get unblocked tasks:
bd ready --parent <epic-id>
→ Returns N tasks with no unresolved dependencies
4. If N > 1 (parallel batch, cap at 5 per batch):
For each task in the batch:
bd worktree create .worktrees/<task-name> --branch feature/<epic>/<task>
5. Dispatch all subagents in parallel:
Read ./implementer-prompt.md, then one Agent tool call per task, ALL in the same message:
Agent({
description: "Implement Task N: <name>",
prompt: "<implementer-prompt content with 'Work from: <task-worktree-path>'>",
subagent_type: "general-purpose"
})
6. Task review per task (can also run in parallel):
Dispatch the single task reviewer (./task-reviewer-prompt.md) with the task
brief, the implementer's report file, and the review-package diff. It returns
a spec-compliance verdict (✅/❌/⚠️) and a code-quality verdict in one pass.
7. For each task that passes review:
cd .worktrees/<epic-name>
git merge feature/<epic>/<task>
bd worktree remove .worktrees/<task-name>
bd close <task-id> --reason "Completed: reviews passed"
8. Run full test suite on epic worktree (integration check):
If fail → invoke systematic-debugging → fix before next batch
9. Re-run bd ready --parent <epic-id>
Repeat from step 3 until no tasks remain
9. If N == 1 at any point:
Sequential mode — run in epic worktree directly, no per-task worktree needed
Tip: Use bd -C .worktrees/<task> ready to check task status across worktrees without changing directory.
Concurrent orchestrators (optional — bd merge-slot): Step 7's merges run through a single orchestrator, one at a time, so the normal flow has no merge race and needs no coordination. The exception is when two or more orchestrators or sessions run SDD concurrently against the same repo (overlapping epics) — their merges into the shared base could collide. For that case only, serialize merges with the beads v1.0.5 merge slot: bd merge-slot create once for the repo, then wrap each task merge as bd merge-slot acquire → git merge feature/<epic>/<task> → bd merge-slot release, so only one orchestrator resolves conflicts at a time. Pairs with the bd swarm validate pre-step above.
Failed Task Handling
When a parallel task fails review:
- Do not merge its task branch into the epic branch.
- Option A — Re-dispatch: Keep the task worktree. Re-dispatch a fix subagent with reviewer feedback. Re-review after fix.
- Option B — Discard:
bd worktree remove .worktrees/<task-name> discards the branch. Task bead stays open and will appear in the next bd ready --parent batch.
- Other parallel tasks that passed review are still merged independently — one failure does not block the batch.
Mode Selection
tasks = bd ready --parent <epic-id>
if len(tasks) == 0:
All done → invoke finishing-a-development-branch
elif len(tasks) == 1:
Sequential mode (run in epic worktree, existing behavior)
elif len(tasks) <= 5:
Parallel batch (one bd worktree per task)
else:
Take first 5 → parallel batch, remaining wait for next iteration
Mode selection is automatic. The orchestrator checks after every batch or sequential task completes.
Model Selection
Use the least powerful model that can handle each role to conserve cost and increase speed.
Always specify the model explicitly when dispatching a subagent. An omitted model inherits your session's model — often the most expensive — which silently defeats this section. For review tasks, scale the model to the diff's size, complexity, and risk: a small mechanical diff does not need the most capable model; a subtle concurrency change does.
Mechanical implementation tasks (isolated functions, clear specs, 1-2 files): use a fast, cheap model. Most implementation tasks are mechanical when the plan is well-specified.
Integration and judgment tasks (multi-file coordination, pattern matching, debugging): use a standard model.
Architecture, design, and review tasks: use the most capable available model.
Task complexity signals:
- Touches 1-2 files with a complete spec → cheap model
- Touches multiple files with integration concerns → standard model
- Requires design judgment or broad codebase understanding → most capable model
Handling Implementer Status
Implementer subagents report one of four statuses. Handle each appropriately:
DONE: Proceed to spec compliance review.
DONE_WITH_CONCERNS: The implementer completed the work but flagged doubts. Read the concerns before proceeding. If the concerns are about correctness or scope, address them before review. If they're observations (e.g., "this file is getting large"), note them and proceed to review.
NEEDS_CONTEXT: The implementer needs information that wasn't provided. Provide the missing context and re-dispatch.
BLOCKED: The implementer cannot complete the task. Assess the blocker:
- If it's a context problem, provide more context and re-dispatch with the same model
- If the task requires more reasoning, re-dispatch with a more capable model
- If the task is too large, break it into smaller pieces
- If the plan itself is wrong, escalate to the human
Blocker-bead stamp: bd create "[spec] <title>" -t task --parent <epic-id> --notes "Severity:/Confidence:/Evidence:" — see verification-before-completion → Agent-Filed Bead Discipline.
Never ignore an escalation or force the same model to retry without changes. If the implementer said it's stuck, something needs to change.
Capture what you learned. At close, record durable, evidence-backed insights (still true next month, tied to a file, test, or command). Never record guesses, one-offs, or secrets (tokens, keys, PII — every memory is injected into all future sessions). Update in place (bd remember --key <key>) rather than adding a near-duplicate.
bd remember "<kind>: <durable, evidence-backed insight>"
Handling Reviewer ⚠️ Items
The task reviewer returns a Spec Compliance verdict of ✅, ❌, or ⚠️. A ⚠️ "cannot verify from diff" item does not block the task on its own — but you (the controller) must resolve it, because it usually needs cross-task context the reviewer lacks. Check the named requirement against the broader implementation. If the ⚠️ turns out to be a real gap, treat it as a failed spec review and re-dispatch the implementer to close it; if it's actually satisfied elsewhere, record that and proceed.
File Handoffs
Hand task text and review diffs to subagents as files, not pasted context — this keeps large text out of your own context and gives subagents a single thing to read.
- Before dispatching an implementer, run
scripts/task-brief <plan-file> <N> → writes .internal/sdd/task-<N>-brief.md. Pass that path to the implementer as "read this first — it is your requirements."
- The implementer writes its full report to
.internal/sdd/task-<N>-report.md (you name the path in the dispatch via [REPORT_FILE]); the reviewer reads it as a file.
- Before dispatching the reviewer, run
scripts/review-package <BASE> <HEAD> → writes .internal/sdd/review-<base7>..<head7>.diff (commit log + file stat + unified diff). Pass that path to the reviewer. BASE is the commit recorded before the implementer ran — never HEAD~1.
- The reviewer is read-only: it must not mutate the working tree, the index, HEAD, or branch state.
.internal/sdd/ is resolved per working tree (scripts/sdd-workspace). In Parallel Batch Mode each bd worktree therefore gets its own isolated directory — concurrent tasks never collide on brief/report/diff filenames.
Prompt Templates
Dispatch via the Agent tool:
Read the prompt template file- Use its content as the
prompt parameter
- Use
subagent_type: "general-purpose" (do NOT use "implementer" — that is Claude Code's built-in implementer agent with its own system prompt, which overrides the prompt template)
./implementer-prompt.md - Dispatch implementer subagent./task-reviewer-prompt.md - Dispatch the single task reviewer subagent (returns spec-compliance + code-quality verdicts in one read-only pass)
Example Workflow
You: I'm using Subagent-Driven Development to execute this plan.
[Read plan file once: .internal/plans/feature-plan.md]
[Extract all 5 tasks with full text and context]
[Create epic + tasks via bd import (parent-child rides the import; blocks wired after):]
[ bd create "Epic: <name>" -t epic -p 2 -d "<goal + '## Success Criteria' heading on its own line>" -> note epic id]
[ Author tasks as JSONL, one per line, id OMITTED, each with a parent-child dep to the epic]
[ and "## Acceptance Criteria" in description; pipe to: bd import -]
[ (schema: bd import --help / bd export <id>; confirm output has no "Skipped dependency")]
[ Wire task ordering (blocks): bd ready --parent <epic-id> --json -> child ids, then]
[ printf 'dep add <t3> <t1> blocks\ndep add <t3> <t2> blocks\n' | bd batch]
Task 1: Hook installation script
[Get Task 1 text and context (already extracted)]
[Dispatch implementation subagent with full task text + context]
Implementer: "Before I begin - should the hook be installed at user or system level?"
You: "User level (~/.config/superpowers/hooks/)"
Implementer: "Got it. Implementing now..."
[Later] Implementer:
- Implemented install-hook command
- Added tests, 5/5 passing
- Self-review: Found I missed --force flag, added it
- Committed
[Generate review package: scripts/review-package BASE HEAD]
[Dispatch single task reviewer with the brief, report file, and diff]
Task reviewer:
Spec Compliance: ✅ Spec compliant - all requirements met, nothing extra
Strengths: Good test coverage, clean
Issues: None
Task quality: Approved
[bd close <task-1-id> --reason "Completed: review clean, commits a1b2c3d..e4f5a6b"]
Task 2: Recovery modes
[Get Task 2 text and context (already extracted)]
[Dispatch implementation subagent with full task text + context]
Implementer: [No questions, proceeds]
Implementer:
- Added verify/repair modes
- 8/8 tests passing
- Self-review: All good
- Committed
[Generate review package + dispatch single task reviewer]
Task reviewer:
Spec Compliance: ❌ Issues:
- Missing: Progress reporting (spec says "report every 100 items")
- Extra: Added --json flag (not requested)
Issues (Important): Magic number (100)
Task quality: Needs fixes
[Implementer fixes all findings in one pass]
Implementer: Removed --json flag, added progress reporting, extracted PROGRESS_INTERVAL constant
[Re-generate review package + re-dispatch task reviewer]
Task reviewer:
Spec Compliance: ✅ Spec compliant now
Task quality: Approved
[bd close <task-2-id> --reason "Completed: review clean, commits e4f5a6b..c7d8e9f"]
...
[After all tasks]
[Dispatch final code-reviewer]
Final reviewer: All requirements met, ready to merge
Done!
Durable Progress
Conversation memory does not survive compaction, and a controller that loses its place can re-dispatch completed tasks. Beads is your durable ledger — it survives compaction and is reloaded by the session hook's composed beads context (or bd prime if that context is missing). After any interruption, run bd ready --parent <epic-id>: tasks still open are the remaining work; closed task beads are done — do not re-dispatch them. Record each task's commit range in its close reason so git log recovery works without a separate file, e.g. bd close <task-id> --reason "Completed: commits <base7>..<head7>, review clean". Do not keep a separate markdown progress ledger — the beads DB is the single source of truth.
Advantages
vs. Manual execution:
- Subagents follow TDD naturally
- Fresh context per task (no confusion)
- Parallel-safe (subagents don't interfere)
- Subagent can ask questions (before AND during work)
vs. Executing Plans:
- Same session (no handoff)
- Continuous progress (no waiting)
- Review checkpoints automatic
Efficiency gains:
- Task brief and review diffs handed as files (see File Handoffs) — large text stays out of the controller's context
- Controller curates exactly what context is needed
- Subagent gets complete information upfront
- Questions surfaced before work begins (not after)
Quality gates:
- Self-review catches issues before handoff
- Single read-only task review: spec compliance and code quality in one pass
- Review loops ensure fixes actually work
- Spec compliance prevents over/under-building
- Code quality ensures implementation is well-built
Cost:
- More subagent invocations (implementer + 1 task reviewer per task)
- Controller does more prep work (extracting all tasks upfront)
- Review loops add iterations
- But catches issues early (cheaper than debugging later)
Red Flags
Never:
- Start implementation on main/master branch without explicit user consent
- Skip the task review (it returns both spec-compliance and code-quality verdicts)
- Proceed with unfixed issues
- Dispatch parallel subagents WITHOUT per-task worktree isolation (each subagent MUST have its own
bd worktree)
- Dispatch more than 5 parallel subagents in a single batch (resource exhaustion)
- Use Claude's
isolation: "worktree" parameter instead of bd worktree (bypasses beads DB sharing)
- Make subagent navigate the raw multi-task plan file (give it a focused, self-contained task brief instead —
scripts/task-brief writes one, see File Handoffs)
- Skip scene-setting context (subagent needs to understand where task fits)
- Ignore subagent questions (answer before letting them proceed)
- Accept "close enough" on spec compliance (task reviewer found issues = not done)
- Skip review loops (reviewer found issues = implementer fixes = review again)
- Let implementer self-review replace the task review (both are needed)
- Move to next task while the review has open issues
- Coach a reviewer to suppress findings — never instruct a reviewer to ignore or not flag an issue, or pre-rate a finding's severity. If your reviewer prompt contains "do not flag", "don't treat X as a defect", "at most Minor", or "the plan chose", stop: you are pre-judging. Let the reviewer raise it and adjudicate in the review loop.
- Discard or defer a failed task to quietly descope a required deliverable, or let Model-Selection cost-minimization accept weaker correctness/security review — surface the trade-off, never take it silently (Production-Grade Doctrine)
If subagent asks questions:
- Answer clearly and completely
- Provide additional context if needed
- Don't rush them into implementation
If reviewer finds issues:
- Implementer (same subagent) fixes them
- Reviewer reviews again
- Repeat until approved
- Don't skip the re-review
If subagent fails task:
- Dispatch fix subagent with specific instructions
- Don't try to fix manually (context pollution)
Integration
Required workflow skills:
- beads-superpowers:using-git-worktrees - REQUIRED: Set up isolated workspace before starting
- beads-superpowers:writing-plans - Creates the plan this skill executes
- beads-superpowers:requesting-code-review - Code review template for reviewer subagents
- beads-superpowers:finishing-a-development-branch - Complete development after all tasks
- beads-superpowers:dispatching-parallel-agents - SDD's parallel batch mode uses this skill's dispatch pattern: when
bd ready --parent returns multiple unblocked tasks, up to 5 are dispatched concurrently, each in its own worktree
- beads-superpowers:receiving-code-review - When the task review produces feedback, this skill's anti-sycophancy protocol ensures technical evaluation rather than blind acceptance
Subagents should use:
- beads-superpowers:test-driven-development - Subagents follow TDD for each task
Parallel mode uses:
- beads-superpowers:using-git-worktrees - Multiple worktrees for parallel task isolation
- beads-superpowers:systematic-debugging - Integration test failures after batch merge
Alternative workflow:
- beads-superpowers:executing-plans - Use for parallel session instead of same-session execution
