I Almost Bought an AI Code Reviewer. Then I Did the Math.
Jonathan Barazany
Eight months of running automated AI code review on my own projects. Then I brought it to Nayax — and didn't buy a single dedicated tool to do it. (5 min read)
ai adoption
AI-Assisted Java Development: An 18-Part Series
A N M Bazlur Rahman
I’m writing a series on what it actually takes to use AI well in Java development. Not the hype version. The engineering version. This series covers the full arc: how AI is changing the economics of software work, how it reshapes workflows and prompting, how to design agents and evaluate them...
We Were About to Buy an Automation Platform. We Already Had One.
Jonathan Barazany
We spent weeks in governance spirals over n8n and Workato. The answer was already deployed — it just needed one more feature to click into place. (5 min read)
What Karpathy's Autoresearch Unlocked for Me
Jonathan Barazany
I was stuck at 0.58 AUC for three weeks. Then an AI agent ran 165 experiments while I slept — and broke through a ceiling I couldn't crack on my own. (5 min read)
How We Measured 65% AI-Written Code (And Why Lines Don't Matter)
Jonathan Barazany
After our Claude Code pilot hit 65% AI-written code, the most common question was: how did you actually measure that? The answer is simpler than most expect - and it starts with abandoning the wrong metric. (4 min read)
What 65% AI-Written Code Taught Us About 'Good Enough'
Jonathan Barazany
A pilot group of 30-40 engineers set a 40% AI-written code target. Six weeks later, the real number was closer to 80%. What we learned about adoption, power users, and the shift to 'good enough.' (5 min read)
Good Enough and Really Fast: A Haiku 4.5 Case Study
Jonathan Barazany
A development team moves so fast that Product can't keep up. How a shift to Haiku 4.5 changed their economics and workflow, and what it reveals about the future of coding agents. (4 min read)