Most developers using AI assistants struggle not because of the tool, but because of poor context. When agents receive vague instructions, they produce unreliable code. Spec-Driven Development (SDD) solves this by requiring structured specifications before a single line of code is written.







BMAD is an open-source agentic framework that organizes development into two phases: upstream (analysis, planning, and solutioning) and downstream (implementation and testing). Each phase is handled by specialized AI agents working in sequence, with clear inputs and outputs.







You'll learn how BMAD v6 extends earlier versions through concepts such as Progressive Disclosure, improved context management, TEA integration, and the project-context.md file, which provides a persistent source of truth throughout development. You'll build complete features by orchestrating multiple agents and workflows, applying BMAD to both existing codebases and greenfield projects while running full sprint cycles from planning through implementation and retrospective.







By the end, you'll have a repeatable, structured process for building software with AI that produces consistent, production-ready results regardless of project size or complexity.