Every AI coding agent framework claims to be the best. GSD, get shit done, is built different. Whether you use Claude Code, Gemini CLI, or any vibe coding setup, picking the wrong framework with Claude wastes more time than bad code.

BMAD Video: https://youtu.be/fD8NLPU0WYU?si=zLOFI5UAX01xKAjD
SuperPowers Video: https://youtu.be/romGzY0Xu0s?si=QQqBx2DKNANSHz0V 
Get Shit Done: https://github.com/gsd-build/get-shit-done

AI agents framework selection is the real bottleneck, not the framework itself. In this video, we break down three approaches, GSD, BMAD, and Superpowers, and show you exactly when to use each one. GSD is built for experimental MVPs where requirements shift, BMAD is for locked-in specs with thorough pre-planning, and Superpowers uses TDD for high-stakes agentic AI systems where edge cases can't be missed.

We walk through a full GSD installation and build, from the initial planning phase through multi-wave implementation with subagents, adversarial plan verification, and Playwright testing. You'll see how it manages context rot, parallelizes work across coding agents, and keeps documentation concise so your AI automation pipeline stays focused.

Whether you're evaluating the best AI for coding your next MVP or comparing the best coding AI workflows for production apps, this breakdown will help you stop guessing. Most coding AI comparisons skip the selection criteria entirely, they just tell you which AI tools are trending. We go deeper into how AI works within each framework and why the structure around your AI matters more than the model itself. If you've looked at OpenAI, Claude, or any other provider and wondered why your agent keeps drifting off task, the answer is usually in the framework, not the model.

This applies whether you're using Claude Code, vibe coding solo projects, or building with opencode alternatives. The principles carry across every coding setup. And if none of the existing frameworks fit, we point you to a previous video on building your own AI coding workflow from scratch.

Hashtags:
#ClaudeCode #Claude #VibeCoding #AIAutomation #Coding #OpenCode #AgenticAI #AICoding

AI LABS

GSD (Get Stuff Done) is an AI coding framework designed for experimental, MVP-focused projects where requirements may change. Unlike BMAD, which requires thorough upfront planning and locked specs, GSD plans step-by-step per phase without pre-committing to later stages. It uses sub-agents for parallel research, adversarial plan verification, and context rot prevention via concise documentation files. The framework maps sub-agents to appropriate models by task weight, runs automated Playwright tests, and tracks work through git with pre-commit checks. GSD is best suited for large-scale apps with evolving requirements, while BMAD fits well-defined conventional systems and Superpowers (TDD-based) suits high-stakes platforms where edge cases are costly. A comparison of all three frameworks helps developers choose the right tool for their project type.

GSD Is the Missing Piece For AI Agents