Your product team just spent six weeks redesigning a workflow. New form layouts, better validation, and smoother transitions between steps. The design system is clean. The Figma file has 47 screens...

Your team just shipped more code in the last quarter than they did in the entire first half of last year. AI tooling is accelerating output across every engineering org that’s adopted it. Your velo...

Your engineers just used Claude Code to generate 200 unit tests for a billing service written in 2016. Your tech lead used Cursor to auto-document the monolith nobody wanted to touch. Your VP of En...

Your CRM is a graveyard of empty fields. Your Jira tickets say “fix the thing” with no context. Your win/loss data is whatever the rep felt like typing before they moved on to the next deal. Six m...

Your engineering organization is treating AI agents like a faster keyboard. That’s why you’re not seeing results. The SDLC wasn’t designed for AI. It was designed around human constraints: context...

Your engineers are using AI agents. They’re burning through tokens. And they’re barely moving faster than they were six months ago. The problem isn’t the tools. It’s that you’re treating intellige...

Your AI initiatives are burning cash at an alarming rate, and it’s not because the technology doesn’t work. MIT research shows 95% of enterprise GenAI pilots are failing, with 42% of companies now...

The Problem When working with multiple repositories that depend on shared packages, keeping dependencies updated can become a tedious manual process. Every time you release a new version of your p...

Modern document analysis often demands a blend of precision and automation. In this post, I demonstrate how to leverage AWS SDKs, Bedrock AI, and pdf-lib to analyze a PDF file, identify key evaluat...

Introduction GitHub Actions are awesome! They’re definitely one of my favorite ways of accomplishing repeatable builds, deployments, and testing for both user experience and security. One of the i...