Building an AI-Powered Development Workflow from Scratch
A complete walkthrough of integrating AI into every phase of software development — from planning to deploy. What works, what doesn’t, and the workflow I’ve settled on.
A complete walkthrough of integrating AI into every phase of software development — from planning to deploy. What works, what doesn’t, and the workflow I’ve settled on.
Practical AI coding assistant tips from a Tech Lead who uses them daily. No fluff — just real workflows that work with Claude Code, Copilot Chat, Cursor, and similar tools.
How we integrated AI into our incident response process — what accelerated resolution and what made things worse.
Not another list of productivity apps. These are the AI workflows that genuinely improve async communication, code review, and sprint planning for distributed teams.
Not a listicle of 50 tools you’ll never try. These are the 7 AI tools I use daily as a Tech Lead managing engineers and data scientists.
We cut our engineering onboarding time from 6-8 weeks to about 3 weeks. AI wasn’t the only factor, but it was the biggest one.
Practical templates and prompts for writing RFCs, ADRs, runbooks, and other technical documents with AI assistance.
How to use AI as a genuine pair programming partner — workflow design, prompting strategies, and when to ditch the AI and think for yourself.
GitHub Copilot was the first AI coding tool most of us used. With Cursor, Claude Code, and others now available, is it still worth paying for?
We’ve been using AI to assist with sprint planning for six months. Some things worked surprisingly well. Others were a waste of time.