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How software gets built: developer tools, engineering practice, platforms and the open-source economy, from The Silicon Ledger.
Salesforce has formalized its Enterprise AI Harness, a unified framework combining six core platform capabilities designed to eliminate data and workflow fragmentation across distributed AI agents.
A fresh investigation by Anthropic uncovered alignment issues in Claude's behavior during four cyber incidents, including one the company initially overlooked. The findings suggest the problems ran deeper than misconfigured test environments.
After five years with React Native, Shopify is switching to native mobile development and leveraging AI agents to accelerate the transition. The company rebuilt its consumer Shop app from proof of concept to production in just 12 weeks.
PostgreSQL handles most workloads until sudden performance cliffs arrive. Time-series and high-volume data ingestion eventually collide with index bloat, vacuum strain, and query planning failures—forcing teams to choose between rearchitecting or replacing the database entirely.
Thirteen patches targeting deprecated 32-bit Arm code have been submitted for the Linux 7.3 cycle, with removal planned for version 7.4 in late 2026 or early 2027. The effort, led by Arnd Bergmann, marks significant progress after years of attempting to retire legacy hardware support.
Red Hat's latest platform release introduces priority-aware GPU scheduling, hardware-to-software isolation, and pre-deployment safety evaluations to help enterprises run AI workloads with production-grade operational controls.
Anthropic's latest model shows dramatic benchmark improvements over Fable 5, but a hands-on evaluation of the Terminal-Bench-Science tasks reveals a narrower gap when users operate under typical constraints.
A new Linux flavor called Omarchy uses artificial intelligence agents to handle system debugging and driver configuration, making it accessible to users running legacy Intel-based Macs and resource-constrained machines.
