Mission 03Verified: October 2026
Supported on CLI / API tiers

Master Software Delivery with AI Coding Agents

Direct autonomous agents like Claude Code and Google Antigravity: Architect repository rules, review code diffs, and enforce verification loops.

Mission Explanation Voice:English (Global Tech)
Mission 03Intermediate Project~4 Hours
Supported on CLI / API tiers

The Expected Outcome

A full-featured software enhancement autonomously planned, edited, type-checked, and committed by an AI coding agent.

Tools Used:
Claude CodeGoogle AntigravityGitTerminal
Required Accounts (Prerequisites):
Anthropic Console or Google Antigravity Access

The Project Brief

Problem Statement:

Traditional chat interfaces produce isolated code snippets requiring tedious manual pasting and debugging. Dedicated coding agents understand repository context and self-verify via terminal tools.

Target User:

Developers and technical builders looking to pair with autonomous coding agents to ship production software reliably.

Acceptance Criteria:
  • Agent produces an architectural plan before touching production code
  • All file modifications are reviewed via explicit diffs with zero unwanted deletions
  • Build and verification loops exit with 0 errors

Master Prompt

Copy and paste this structured prompt into your AI model (Claude or Google AI Studio):

I want to implement a complete Bookmarking and Reading History feature in our existing Next.js Urdu platform. Before modifying any files: 1. Inspect the codebase and identify existing state management and storage files. 2. Produce a clear implementation plan with risks. 3. Once approved, implement the changes incrementally, preserving existing comments. 4. Run build and verify there are no lint or type errors.

Step-by-Step Build Instructions

Follow each step carefully and use the refinement prompts if needed.

1

Configure Repository Rules and Architecture Guidelines

Step 1

Create an AGENTS.md file in your repository root documenting architectural invariants, tool execution rules, and styling principles.

ProTip: ProTip: Keep edits small and iterative.
2

Prompt with Explicit Invariants and Inspection Mandates

Step 2

Instruct the agent to inspect relevant directories first and present a proposed implementation plan before editing.

ProTip: ProTip: Keep edits small and iterative.
3

Review Code Diffs and Prevent Architectural Drift

Step 3

Inspect the agent diff block carefully. Ensure existing comments and helper utilities remain intact.

ProTip: ProTip: Keep edits small and iterative.
4

Run Build Verification and Browser Smoke Tests

Step 4

Execute npm run build and run browser interaction checks to ensure UI state updates correctly.

ProTip: ProTip: Keep edits small and iterative.

Iteration & Refinement Tips

  • Break complex refactors into verifiable sub-tasks before giving the agent terminal write access.
  • Keep your system specifications in AGENTS.md or CLAUDE.md so the agent automatically adheres to project rules.

Testing & Verification Checklist

Check each item before publishing your project to ensure everything works smoothly:

Launch Guidance

Publish & Share Your Project

You have completed the AI coding agent masterclass. You now have the tooling to deliver full-stack projects in hours.

Next Steps:
  • Automate pull request reviews using custom GitHub Actions and AI agent webhooks.
  • Build your personal library of domain-specific coding agent skills.
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