How to Build a Browser-Based AI Posture Monitor Using MediaPipe and Vue.js

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A developer tutorial published on DEV Community walks through building 'Posture Guardian', a real-time posture detection tool that runs entirely in the browser. The project uses Google's MediaPipe Pose model, which tracks 33 body landmarks, combined with Vue.js 3 to analyze webcam footage for common desk-worker issues like forward head posture and uneven shoulders. The detection logic applies basic trigonometry to calculate angles between key landmarks such as ears, shoulders, and hips, triggering alerts when thresholds are exceeded. The tutorial covers initializing the MediaPipe model, writing ergonomics analysis functions in JavaScript, and integrating the webcam feed into a Vue component. The guide also notes that a production-ready version would need to account for lighting variations, camera calibration, and notification throttling.

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Ollama's 5-Minute Default Caused 214 Model Reloads in a Single Day

A developer running a local AI chat app discovered that Ollama's default 5-minute idle timeout was silently evicting models from VRAM, forcing a costly cold reload from disk on every subsequent request. Over 24 hours and 1,180 requests, the system logged 214 model load events, with cold starts taking 11.4 seconds to first token compared to just 0.9 seconds when the model was already warm. A cron job set to run every 10 minutes was hitting the 5-minute timeout every single time, meaning it had never once used a warm model. The root cause was partly obscured because passing keep_alive in the request body has no effect on Ollama's OpenAI-compatible endpoint — only the native API honors it. Setting the server-side environment variable OLLAMA_KEEP_ALIVE=24h and moving embeddings to a separate CPU-only instance reduced daily model reloads from 214 down to just 9.

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ProgrammingDEV Community ·

How to Separate Identity, Consent, and Session Management in Patient Portal OAuth

A technical guide published on DEV Community outlines best practices for implementing OAuth-based login in healthcare patient portals using Node.js. The author argues that OAuth handles identity but does not address whether an application should access specific health data categories at a given moment. The piece recommends treating consent and session lifetime as decisions distinct from authentication, with explicit user-facing disclosures showing data category, purpose, and trigger before any access occurs. It also covers refresh token rotation, audit logging of consent state changes, and the risk of revoke actions that only update a UI checkbox without blocking subsequent API calls. Four identity providers — Auth0, Clerk, Keycloak, and Infrai — are compared based on their suitability for portal use cases and their respective trade-offs.

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ProgrammingDEV Community ·

Developer builds Auricle, a native Windows music player for YouTube Music

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ProgrammingDEV Community ·

How Server-Sent Events Can Replace WebSockets in Next.js Apps

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