💻 Engineering

Coding Assistant

From GitHub issue to reviewed PR — in the same afternoon.

The Problem

  • • Developers spend 40% of their time on boilerplate code and routine fixes.
  • • Issue-to-PR cycle times average 3–5 days for straightforward changes.
  • • Context switching between issues breaks flow and reduces throughput.
  • • Test coverage gaps slip through when developers are rushing to ship.

What This Blueprint Does

DevBot, your AI Staff Architect, reads GitHub issues, generates implementation plans, writes code, runs tests in sandboxed containers, and opens PRs — turning same-day delivery from aspiration to default.

  • → Parses GitHub issues with full codebase context for accurate implementations.
  • → Generates technical plans and writes code against specifications.
  • → Runs unit tests in isolated containers with self-healing retry loops.
  • → Opens PRs with diffs, test logs, and context for human review.

Workflow Architecture

1

Issue Parsing

Autonomous

GitHub Connector reads issue body, affected files, and codebase context.

Employee: DevBot — Staff Architect

2

Implementation Plan

Autonomous

Technical plan + list of target changes generated.

Employee: DevBot

3

Code Generation

Autonomous

Code written against plan. File diffs generated.

Employee: DevBot — Software Engineer

4

Test Execution

Autonomous

Unit tests generated + run in isolated container. Pass/fail logged.

Employee: DevBot — QA Engineer

4a

Self-Healing Branch

Conditional

If tests_failed > 0 AND retry_count < 3 → loop back to Step 3.

5

Lead Architect Review

Human Review

Side-by-side code diff + test log. Edit inline or approve.

Reviewer: Human Lead Architect

6

PR Dispatch

Autonomous

Git branch created. Code committed. PR opened against main branch.

Employee: DevBot

Blueprint Details

Steps7
AI Employees1 (DevBot)
Human Reviews1
Time SavedSame-day delivery
Tools UsedGitHub, Docker Sandbox

AI Employee: DevBot

DevBot

Staff Architect

Code GenerationTest DesignGit Operations

Ready to deploy?

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