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ProgrammingHacker News ·

Developers Build Compact Open Source Dual-Band ADS-B Aircraft Tracker

A team of open source hardware developers has unveiled what they claim is the smallest dual-band ADS-B aircraft tracking receiver available. The project is the result of eight months of work focused on miniaturizing their existing receiver technology. The miniaturization was made possible by integrating a new chip from semiconductor company Semtech. ADS-B, or Automatic Dependent Surveillance-Broadcast, is a technology used to track aircraft positions in real time. The developers shared the project on Hacker News and invited questions about ADS-B technology and hardware manufacturing.

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ProgrammingHacker News ·

IBM Unveils Next-Generation Dual-Architecture Processor for Z and LinuxONE

IBM announced a new dual-architecture processor designed for its IBM Z and LinuxONE platforms on August 24, 2026. The announcement was made via IBM's official newsroom. The processor represents the next generation of IBM's enterprise computing hardware lineup. The dual-architecture design suggests the chip is built to support both IBM Z and LinuxONE system environments.

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ProgrammingDEV Community ·

Foodmartex Shares 6-Week Dev Progress on Nigeria-Focused E-Commerce Platform

Foodmartex, a Nigerian e-commerce startup, has outlined six weeks of technical and product development on its multi-vendor platform serving customers, vendors, and delivery riders. Early work focused on overhauling backend infrastructure, including timezone-aware vendor opening hours for Lagos and strengthened payment reconciliation via Paystack. The team subsequently added admin analytics dashboards, a careers module, and improved subscription plan management for vendors. Engagement features such as Premier League predictions, spin-wheel rewards, and raffle campaigns were also introduced to drive customer retention. The platform aims to consolidate food, pharmacy, and grocery purchases in one place while ensuring timely pay and trip tracking for delivery riders.

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ProgrammingDEV Community ·

Why AI Agent Eval Suites Miss Critical Production Failures Beyond Final Output

AI agent evaluation frameworks that only score final answers are giving development teams a false sense of security, according to a widely discussed analysis in the developer community. An agent can produce a correct-looking response while having accessed unauthorized data, leaked private context, or triggered irreversible side effects that never surface in the output string. This "final answer bias" means evaluation suites routinely mark dangerous or inefficient runs as successful. Gartner projects that over 40 percent of agentic AI projects will be canceled by end of 2027, with 32 percent of organizations citing output quality as the top deployment barrier. Experts argue that robust evaluation must shift focus to trajectory-level metrics — examining intermediate steps, tool calls, and resource access — not just the last message returned.

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