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Healthcare's Next Decade Will Be Measured, Not Guessed
Originally published at danielsalzberg.com. I've spent much of my career watching healthcare buy te…
A Data Model for AI Visibility: Mentions, Citations, Accuracy and Source Quality
Most AI visibility tooling gives you one number. That number is usually "mentions". This post shows …
Movement Is the Vital Sign We Aren't Measuring
Originally published at danielsalzberg.com. Every clinic visit starts with the same few numbers: bl…
Why Parallel Agent Teams Outscale Solo Best-of-N
When developers allocate inference budgets to coding agents on hard problems, the architecture usual…
Introducing Tributary: your coding agents, one workbench
Tributary is an open-source AI workbench for working with the coding agents and local models you alr…
Stop Asking AI for LeetCode Answers. Use This Tutor Prompt Instead
You paste a LeetCode problem into ChatGPT. You get a clean solution, it passes, you move on. A week…
Web3 developers moving to AI: what the 2026 data shows, and why we widened Dapping
Web3 developers are leaving crypto, and the work for those who stay is moving toward AI. Electric Ca…
Medium’s new TK app brings AI assistance directly into the writing process
Medium's new writing app embraces AI-assisted writing, despite growing controversy over the technolo…
My On-Call Agent Stopped Suggesting the Fix That Failed
The last time our production database ran out of connections, an AI assistant gave me the exact advi…
How AI Agents Pick Their Own Tools at Runtime (Without Hardcoding)
Most AI agents today ship with a fixed list of tools hardcoded by their developers. That works in p…
I built an open-source AI coding agent that makes GitHub issue fixes prove they actually work
🚨 HELP ME WIN THE BHARATCODE HACKATHON! 🏆🇮🇳 Hey everyone! ❤️ I've built MergeSutra, an open-source A…
Java's AI Path Has Two Tracks: FFM Today, Babylon Tomorrow
When a Java application needs AI inference, the easiest answer is often to call a remote service. Th…