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AI-Assisted Software EngineeringA Methodology That Actually Works

Start with a conversation. Document thoroughly. Execute systematically. Ship production-ready code.

The Process

  1. Brainstorm with Opus — Real conversation in a Claude Project. Discuss scope, tech stack, architecture. Multiple turns, not one prompt.
  2. Generate foundation docs — README, Architecture, rules, sprint plan, task specs. Thorough enough that AI can execute autonomously.
  3. Execute in focused tasks — One task per conversation. Plan mode first. Test after. Score confidence. Close. Next.
  4. Know when to start fresh — Side tasks, circular debugging, long conversations — write a task doc and start a new conversation.
  5. Audit between phases — Fresh AI reviews your code. Fix what it finds before continuing.

Who This Is For

  • Developers who want AI to accelerate their work without producing garbage
  • Founders validating ideas before burning runway
  • Team leads establishing standards for AI-assisted development

Real Example

The VH Conference Toolkit — a suite of open-source tools for event professionals — was built using this methodology. Browse its repo to see thorough architecture docs, strict development rules, sprint-based task specs, and architectural decision records in action.

Get Started


Need a hand getting started?

Whether you're exploring AI-assisted development for the first time or looking to sharpen an existing workflow, the team at Visual Hive can help. Book a free consultation to talk through your goals — from strategy audits that pinpoint bottlenecks to hands-on development and deployment.