Connecting a 60GHz Fall Detection Radar to Home Assistant via MQTT

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A verified guide explains how to link a 60GHz fall detection radar to Home Assistant so its fall alarm and presence data appear on a dashboard. The radar publishes JSON over MQTT to a broker, which Home Assistant subscribes to and converts into entities. The setup was tested on Windows 11 using WSL2 and Home Assistant Core 2025.1.4 against a live radar and Apache Artemis broker. The walkthrough covers installing Home Assistant Core on Ubuntu under WSL2, including Python and system package prerequisites, and running it as a background process. Home Assistant is presented as a free, open-source, local-first hub that keeps data off the cloud.

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TrustIntern: Student-built tool flags internship scams with evidence-backed risk scores

A developer built TrustIntern, a tool that helps students check internship offers for signs of fraud. Users paste in a recruiter's email, company details and the offer message, and can attach the offer letter as a PDF or screenshot. The tool runs fixed checks such as email domain matching, domain age, and the wording of the message, alongside research agents that look into the company and public complaints. Each risk score is broken down into specific, traceable pieces of evidence, and reports state they are heuristic indicators rather than proof of fraud. The student version is free, while colleges, job boards and paid postmortem reports for scam victims are planned revenue sources.

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ProgrammingDEV Community ·

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DeepSeek released DeepSeek-V4.1-Flash-1017 on October 17, 2026, a minor update to its V4.1-Flash model aimed at agentic coding work. According to vendor-reported benchmarks, the model posts higher scores than its predecessor, completes tasks faster, and produces shorter outputs, while offering a 1M-token context window and MIT-licensed open weights. It leads several agentic coding benchmarks but trails frontier models like Claude Opus 5 on harder reasoning tests, and no independent evaluation exists yet. DeepSeek's API pricing is substantially lower than closed frontier models, with cache hits costing far less than cache misses and off-peak rates at half the peak level. The company also opened its Search & Fetch APIs to all users at $0.75 per 1,000 successful calls.

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ProgrammingDEV Community ·

NexTrace Uses FalkorDB Graph Database to Detect and Quarantine Cloud Attack Paths

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ProgrammingDEV Community ·

Why AI Prototypes Fail in Production and What Reliable Deployment Requires

An AI application that performs well in a demo can still fail once deployed, because the model is only one part of a larger software system. Real-world conditions such as slow providers, traffic spikes, dependency conflicts, and database limits expose problems unrelated to model quality. The article argues that engineers must address containerization, failure boundaries, retries, observability, data security, and recovery from interruptions. It uses a document intelligence service as an example, showing how many external dependencies each add potential points of failure. The author's book, The AI Engineer Volume II, covers these practices for teams moving AI applications beyond prototypes.

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