Apr 18 · 6 min read · The vector search returned seven chunks about "database indexing strategies" for a query about "machine learning model training." All seven had cosine similarity scores above 0.72. All seven were confidently, precisely wrong. This is the failure mode...
Join discussionApr 14 · 17 min read · 📂 Explore the Source If you want to dive straight into the implementation, you can explore the repositories below: Srot Core (github.com/pathak404/srot-core): The central intelligence pipeline, Fast
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Mar 29 · 11 min read · Introduction Most AI coding tools are reactive. You paste an error, they suggest a fix. You still have to copy, paste, run, and repeat. That feedback loop is slow and entirely manual. Deep Agents flip
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Mar 26 · 6 min read · We organize Hack4Bengal, one of the largest in-person hackathons in Eastern India every year. Every edition, two things go wrong that no amount of spreadsheet wizardry can fix: Mentor matching is a gu
Join discussionMar 8 · 16 min read · A few days ago I came across Model Context Protocol on Anthropic's engineering blog. I kept reading — and the more I understood, the more I wanted to build something with it. I explored Anthropic's re
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Mar 4 · 4 min read · A Case Study from CODE:AUTOMATA Ver 2.1 Hackathon During the 24-hour offline round of CODE:AUTOMATA Ver 2.1 at CSMIT, our team worked on a high-impact healthcare challenge: HC-2: Digital Contact Trac
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Feb 17 · 5 min read · I’ve run over 150 hackathons. From small 50-person events to 1000 developer sprints. From community-led to corporate hackathons. No matter the size, one thing is constant: The backstage is chaos. If you’ve organized a hackathon, you know exactly wh...
Join discussionFeb 15 · 9 min read · Documentation has a half-life problem. The moment you write it, entropy begins. APIs change, services get renamed, dependencies evolve, and that carefully crafted architecture diagram becomes a historical artifact rather than a living reference. In c...
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Feb 15 · 9 min read · Every experienced engineer knows the frustration: you return to a CAD project after a few weeks away, and cannot remember why you chose M3 screws instead of M4, why the motor mount angle is 5 degrees, or which components have clearance dependencies. ...
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