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Ads ranking models are growing toward LLM scale faster than the hardware to run them can keep up. An extra unit of compute has more impact on some ad requests, models, and chips than on others. The challenge is deciding…
Automated testing in the age of AI coding assistants is problematic: when AI agents write both production and test code, developers risk losing the assurance that automated tests protect against functional errors.…
AWS Emulator, launched today and written and tested entirely by agents, gives you a local copy of more than 200 AWS services to test against. Swami Sivasubramanian recalls the high-fidelity simulation his team built to…
GitHub Agentic Workflows is generally available, running coding agents in GitHub Actions with read-only defaults and separately scoped write jobs. Those protections do not cover direct write permissions or custom jobs,…
JioHotstar evaluated 6 approaches to code retrieval for AI coding agents using SWE, CodeScale Bench, and an internal question-answering harness. Structural search performed well on concrete tasks, while semantic…
Oli Lane and Julian Wreford share how Gearset replaced guesswork in distributed asynchronous queues with OpenTelemetry tracing. They explain why traditional metrics fall short, how to implement user-centric SLOs based…