If you've tried to follow any AI coding discussion in the last six months, you've probably felt like everyone suddenly started speaking a dialect you never signed up to learn. "Vibe coding." "Agentic workflows." "Context windows." "Prompt engineering." The jargon is multiplying faster than JavaScript frameworks, and that's saying something. Matt Pocock — who you might know from his TypeScript educ
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
GitHub Copilot just got a lot more complicated — and not in a good way. If you tried to sign up for Copilot Pro recently and hit a wall, that's not a bug. GitHub quietly paused new sign-ups for Copilot Pro, Pro+, and Student plans starting in late April 2026. No end date announced. No workaround offered. Just a message and a door that won't open. That alone would be worth covering. But they made t
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-
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
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
Anthropic now ships at least three different memory models inside the Claude product family, and they don't behave the same way. Claude.ai has a chat memory feature for Pro, Max, Team, and Enterprise users that summarizes prior conversations and injects that summary into new chats. Claude Code has CLAUDE.md files plus a separate "auto memory" directory the model writes to itself, both loaded at se