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Implementation Templates

Template Library

Implementation Templates

Use the ES-106 and ES-107 template family to prepare, execute, review, evidence, and summarize responsible implementation work in the AI era.

ES-106 / ES-107 Implementation Package Start Here

Purpose

These templates support both ES-106 — Implementation Readiness and ES-107 — AI-Assisted Implementation.

Use this family to move from accepted design to controlled implementation. The package separates readiness work from execution work so that teams do not jump into coding before repository state, work items, guardrails, AI use, verification, and review expectations are clear.

Design Readiness Summary
      ↓
ES-106 Implementation Readiness
      ↓
Repository + Branch + Work Item + Guardrail + AI + Verification Readiness
      ↓
Implementation Readiness Summary
      ↓
ES-107 AI-Assisted Implementation
      ↓
Implementation Log + AI Assistance Log + Evidence + Decisions + Risk Updates
      ↓
Work Item Completion Records
      ↓
Implementation Summary
      ↓
ES-108 Code Review and Integration

Copy location

Do not edit the reusable templates directly. Copy completed project versions into:

docs/project-workspace/implementation/

ES-106 readiness templates

ES-107 execution templates

Completion expectations

Question Evidence
Is the team ready to implement? implementation_readiness_summary.md
Is repository and workflow ready? repository_readiness_check.md, branch_and_workflow_plan.md
What will be implemented? implementation_work_items.md
What must not be broken? implementation_guardrails.md
How may AI assist? ai_use_plan.md
What checks are needed? verification_precheck.md
How will implementation be reviewed? implementation_review_plan.md
What happened during implementation? implementation_log.md, ai_assistance_log.md
What evidence was produced? implementation_evidence.md, verification_notes.md
What decisions and risks changed? implementation_decision_records.md, implementation_risk_updates.md
Is the work ready for review/integration? work_item_completion_records.md, implementation_summary.md
Common Pitfall

Do not treat AI-generated implementation as completed work. AI output is only a candidate contribution until engineers review, test, integrate, and evidence it.

Engineering Insight

Implementation is not just writing code. It is preserving design intent, protecting guardrails, recording decisions, verifying behavior, and leaving enough evidence for review and future stewardship.

Begin with Implementation Readiness Overview

Start by connecting implementation readiness to the accepted ES-105 design package.

Open Implementation Readiness Overview →