Last Tuesday I lost about three hours to a regression in our checkout service. The cart total was off by a cent on certain promo combinations, and the only signal was a Slack ping from finance with a screenshot. No stack trace. No exception. Just wrong numbers. I did what I always do first. I opened the diff for the last deploy, scrolled, squinted, and tried to feel my way to the bug. Forty minute
A production-grade embedded system enabling communication across speech, text, Morse, and haptic signals within a single unified pipeline. Official Project Page: https://anandps.in/projects/unified-assistive-communication-system GitHub Repository: https://github.com/anand-ps/unified-assistive-communication-system Problem Assistive communication systems are fragmented. Most tools so
I Built a VS Code Extension to Bring IntelliJ’s “Show History for Selection” Experience If you come from IntelliJ, you probably miss one super useful feature in VS Code: Show history for selected lines. I built a new extension to solve exactly that. Show History for Selected Code This extension helps you inspect Git history for a specific code selection, not just the whole file. Shows commit h
Arduino VENTUNO Q บอร์ด AI ตัวใหม่จาก Arduino ที่ทำให้ AI อยู่ในมือ maker ทุกคน 🤖 Arduino �เพิ่งประกาศเปิดตัว VENTUNO Q บอร์ดใหม่ล่าสุดที่ใช้พลังจาก Qualcomm Dragonwing IQ8 Series ซึ่งถูกออกแบบมาเพื่อ AI, Robotics และ Actuation โดยเฉพาะ NPU Acceleration สูงสุด 40 TOPS — พลังประมวลผล AI ระดับอุตสาหกรรม Dual-Brain Architecture — รวมพลังระหว่าง Qualcomm chip กับ STM32H5 microcontroller สำหรับ low-
Microsoft's 'Co-Authored-by Copilot' Tag: Unpacking the Strategic Play for AI Dominance in VS Code The persistent insertion of 'Co-Authored-by: Copilot' into commit messages within VS Code—often irrespective of GitHub Copilot's active contribution to specific changes—is far from a benign engineering detail. It represents a calculated, multi-faceted strategic maneuver by Microsoft, signaling a pr
En la Parte 2 de esta serie, logramos entrenar exitosamente una red neuronal recurrente (LSTM) en Python, capaz de predecir la falla de una turbina aeroespacial con un error de apenas 10 vuelos. El modelo era un éxito en la nube. Pero en el mundo del mantenimiento industrial y el Edge Computing, no siempre tenemos servidores disponibles. Quería llevar a MAJN (mi red neuronal) al mundo físico. Así
I have a bad habit of jumping between projects. It's not a big deal. But it happens every single day. So I built rewind. rewind That's it. No setup, no IDE, no agent loop burning through tokens. Just one binary, one command, one LLM call. cargo install git-rewind GitHub: https://github.com/Chronos778/git-rewind Would love feedback — on the idea, the UX, anything. Still early days.
This is part three of a series on display consistency in embedded systems. The first two parts were technical. This one is about why the technical parts worked. The picture: ATtiny85 thermometer. Neural network inference. QUAD7SHIFT display. Built from datasheets. He had datasheets. No Stack Overflow. No libraries to install. No AI to generate boilerplate. No tutorials that abstracted away the in