2d ago · 9 min read · Let me start with the honest version of what happened. Yesterday, Anthropic accidentally published a 59.8 MB source map file inside version 2.1.88 of their @anthropic-ai/claude-code npm package. The b
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5d ago · 6 min read · A Different Kind of Test In the first article, the demo was deliberately trivial — "why did the chicken cross the road?" — because the point was to show the routing mechanics, not solve a real problem
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5d ago · 7 min read · Introduction: The Hidden Budget Leak in Your ML Pipeline Here's a pattern I see constantly: a team ships an LLM-powered feature, it works great, leadership greenlights scaling — and then the invoice arrives. They're running GPT-4o on everything. Inte...
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5d ago · 3 min read · AI agents are failing in production at alarming rates. Research shows that up to 40% of AI agent deployments encounter critical failures within the first 90 days. The question isn't whether your agents will fail — it's whether your system can recover...
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6d ago · 4 min read · After 4 years of shipping production systems across AI platforms, mobile apps, and AWS serverless backends, I've noticed a pattern. The engineers who ship the fastest and break the least aren't the on
Join discussionMar 26 · 8 min read · Every developer knows the feeling. You finished the feature. It works. The PR is ready. But the test coverage is thin, and you know it. You tell yourself you will come back and add tests later. You will not. Testing debt is one of the most common pro...
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Mar 26 · 8 min read · When developers hear "AI pair programming," most picture autocomplete on steroids — a tool that finishes your if-statement or writes a for-loop faster than you can type it. That is real, but it is the least interesting thing AI can do for developers....
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