Overview
The guided-implementation addon provides bounded iteration control for autonomous issue-to-code work
guided-implementation Overview
The guided-implementation addon keeps issue-to-code work inside a bounded retry loop. Use it when an assistant should attempt an implementation, run validation, retry with feedback, and escalate with useful context if the retry budget is exhausted.
Common Use Cases
- Address a small issue or bug with a fixed number of implementation attempts.
- Keep test-debug cycles from drifting away from the original task.
- Produce a structured escalation when the remaining decision requires human input.
- Pair SDLC planning artifacts with a concrete implementation loop.
The Problem It Solves
Many AI coding environments already provide file search, task decomposition, code edits, review, and debugging. guided-implementation focuses on the loop policy: when to retry a failed implementation attempt, when to stop, and what evidence to carry into escalation.
Without iteration control, an agent facing a failing test either gives up after one attempt (too conservative) or retries indefinitely in ways that produce increasingly divergent code (too aggressive). Iteration control establishes a bounded retry budget with structured escalation when the budget runs out.
What the Addon Provides
| Component | Purpose |
|---|---|
| `iteration-control` skill | Manages bounded retries with structured escalation |
Everything else the workflow needs — file operations, code generation, testing, review — is handled by Claude Code's native tools and the existing SDLC agents.
How Iteration Control Works
For each implementation task:
iteration = 0
loop:
generate_code()
validate() → result
if result.pass:
proceed to next task
elif result.fail AND iteration < max:
retry with feedback (iteration += 1)
elif result.fail AND iteration >= max:
escalate to user
The skill tracks what was tried in each iteration and includes that history in the escalation message so the user has enough context to make a decision.
Escalation Format
When the retry budget is exhausted, the skill produces a structured escalation:
ESCALATION: Max iterations reached (3/3)
Task: Implement JWT token validation
Attempts:
- Iter 1: Test failed — undefined token variable
- Iter 2: Test failed — token missing userId field
- Iter 3: Test failed — userId format mismatch (string vs number)
Pattern detected: userId type inconsistency between implementation and test
Question: The implementation uses string, the test expects number.
Which format should userId be?
A) string (implementation matches this)
B) number (test expects this)
C) Show me the relevant type definition
The escalation identifies the pattern across attempts rather than just reporting the last failure. This gives the user actionable context: the problem is a type inconsistency, not just a test failure.
Usage
The skill is invoked by the `/flow-guided-implementation` command:
/flow-guided-implementation Add user authentication with JWT
With a custom retry limit:
/flow-guided-implementation --max-retries 5 Fix the login validation bug
The default retry limit is 3 attempts per task. For complex tasks requiring more exploration, increase it. For simple bugs, 3 is usually sufficient.
Next Step
Start from the SDLC implementation flow: `@$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/commands/flow-guided-implementation.md`. In an installed project, ask your assistant to use guided implementation for one issue and report each validation attempt before escalating.
Research Foundation
The iteration control design is informed by MAGIS (Multi-Agent GitHub Issue Resolution) research on bounded developer-QA iteration loops. AIWG applies the pattern as a workflow control: finite retries, validation after each attempt, and human escalation when the loop cannot resolve the issue.
Reference: `@$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/commands/flow-guided-implementation.md`
References
- `@$AIWG_ROOT/agentic/code/addons/guided-implementation/skills/iteration-control/SKILL.md` — Full skill definition
- `@$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/commands/flow-guided-implementation.md` — The command this skill supports