Breakthrough Method for Agile Ai Driven Development - bmad-code-org/BMAD-METHOD
Bloom’s Taxonomy – Agile Learning
SPIDR: Five Simple but Powerful Ways to Split User Stories - Mountain Goat Software
Online and in-person training to help you succeed with agile
Getting Started with ML and AI in Research Software | Software Sustainability Institute
Getting started with ML in research software means embracing a shift in how results are produced and reproduced. Instead of a fixed execution path, research software teams work with systems whose behaviour emerges from data, configuration, and training dynamics. Reproducibility becomes a matter of capturing the process rather than relying solely on the code. The tools and techniques outlined here can be adopted incrementally into existing projects, and together they provide a practical foundation for reproducible ML research.
Stories | Cyrus
Insights, tutorials, and case studies on AI-powered development workflows. Learn how teams use Cyrus with Linear and Claude Code to ship 20x faster.
We build AI that works for humans
Imbue builds AI to help people think, create, and build. We share our tools openly because we believe progress in AI should be collaborative and developer-driven
How StrongDM’s AI team build serious software without even looking at the code
Last week I hinted at a demo I had seen from a team implementing what Dan Shapiro called the Dark Factory level of AI adoption, where no human even looks …
Git AI - Track AI Code all the way to production
Cross-agent observability from prompt to production. Track AI-generated code from Cursor, Claude Code, GitHub Copilot, Gemini, and more through the entire SDLC.
How to fully automate software engineering
Current AI coding tools assist but don't fully automate software engineering. Better RL environments are what's missing.
Augment Code Pricing - Plans for Teams and Enterprise
Simple, transparent pricing for AI-powered development. Plans for individuals, teams, and enterprise.
Ship working code while you sleep with the Ralph Wiggum technique
Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl
Notes from my Thoughtworks colleagues on AI-assisted software delivery
What spec-driven development gets wrong
The most powerful AI software development platform with the industry-leading context engine.
How building software is changing at Anthropic
A deepdive on what’s changed in how the leading AI lab makes software. Ever more code review and testing is done by AI, two-pizza teams very much alive, and more. Details from inside of Anthropic
Spine Swarm — State-of-the-art research and client-ready deliverables
Spine is an agentic platform that runs parallel AI agents across 300+ models to research, create client-ready deliverables, and automate work across your apps.
The antidote to AI fatigue — Answer.ai Solveit