From prompts to contracts: an intro to Spec Driven Development
Spec Driven Development for AI-assisted coding: how to replace prompts with versioned specs that anchor intent.
Tag: ai-engineering
6 posts found
Turning AI-Generated Mess Into a Sustainable Codebase
A practical playbook for turning “vibe-coded” prototypes into maintainable software by tracking refactor work, codifying changes into a reusable spec, and using an agent to apply the same improvements consistently across dozens of REST endpoints.
Advanced Patterns for AI-Assisted Development: The ML-Informed Guide
Deep technical patterns for optimizing AI-assisted development—from attention mechanics to cost optimization, quality assurance, and robust error recovery.
Vibe Coding is not a production strategy: Keeping AI code under control
A practical look at vibe coding as an AI native failure mode: where it helps, where it quietly erodes trust boundaries and how specs and ownership keep your stack safe.
Overcoming the Human Bottleneck in AI-driven Software Development: A Feature-PR Model Proposal
An exploration of how AI accelerates software development and why human validation remains the crucial bottleneck in modern engineering.
8 Patterns for Spec-Driven Development: Getting Real Results from BMAD
Eight architectural patterns for AI-assisted development with the BMAD Method—practical techniques backed by research from Anthropic, OpenAI, and battle-tested experience.