Guide library
PLAN / EXECUTE / VERIFY
AI Coding Agent Use Cases and Engineering Workflows
Practical workflows for code review, test generation, bug fixing, legacy refactoring, CI/CD, monorepos, MCP issue-to-PR automation, and API migrations.
LEARNING PATH
Follow the sequence or start from a problem
Every topic states its scope, operating path, evidence sources, and verification gates. Follow the sequence or enter at the problem you need to solve.
01AI Code Review Workflow: From Diff Triage to Verified FindingsDesign a repeatable AI-assisted code review that produces actionable findings without granting unnecessary write access.11 min02AI Test Generation Workflow: Add Coverage Without Encoding GuessworkCreate a controlled workflow for generating unit, integration, and regression tests with coding agents.11 min03AI Bug Fixing Workflow: Reproduce, Isolate, Patch, and VerifyUse coding agents to diagnose and fix bugs while preserving a clear causal and verification trail.12 min04AI Legacy Code Refactoring: A Behavior-Preserving Migration WorkflowPlan and execute AI-assisted legacy refactoring without treating broad code generation as evidence of preserved behavior.13 min05Coding Agents in CI/CD: A Least-Privilege Automation WorkflowDesign secure and auditable coding-agent jobs for review, testing, maintenance, and pull request workflows.13 min06Coding Agents in a Monorepo: Scope, Context, and VerificationDesign a coding-agent workflow that respects monorepo ownership, dependency, and validation boundaries.12 min07MCP Issue-to-PR Workflow: Connect Context Without Surrendering ControlBuild a controlled issue-to-pull-request workflow using MCP-enabled coding agents.13 min08AI API Migration Workflow: Protocol Mapping, Parity Tests, and RolloutPlan and verify an AI API migration without assuming that similarly named endpoints or models are fully compatible.14 min