
Stop Using AI Just for Code Completion — Here's a Workflow That Covers Your Entire SDLC
TL;DR: Most teams use AI tools to generate a function here and autocomplete a line there. This article walks through a structured, open-source workflow that brings Claude Code into every phase of software delivery — from discovery to post-deployment observability — and shows you where it actually saves time. The Problem with How We Use AI in Development Today If you're on an engineering team in 2026, you're almost certainly using some form of AI assistance. GitHub Copilot, Claude, ChatGPT. There's no shortage of options. But ask most engineers how they use it, and the answer looks something like: "I ask it to write boilerplate," "I use it to explain code I didn't write," or "I paste in an error message and see what it says." That's fine. That's genuinely useful. But it's leaving most of the value on the table. Real software delivery isn't just writing code. It's: Understanding the problem before writing a single line Designing for the right architecture (and documenting why) Planning t
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