IA para desarrolloInfoQInglés (alta relevancia por disponibilidad)
IA para desarrollo
Anthropic introduces a three-agent harness separating planning, generation, and evaluation to improve long-running autonomous AI workflows for frontend and full-stack development. Industry commentary highlights structured approaches,…
This is the second post in the Ranking Engineer Agent blog series exploring the autonomous AI capabilities accelerating Meta’s Ads Ranking innovation. The previous post introduced Ranking Engineer Agent’s ML exploration capability, which…
GitHub has launched a continuous AI-powered workflow to manage accessibility feedback at scale. Using GitHub Actions, Copilot, and Models APIs, the system centralizes reports, analyzes WCAG compliance, and automates triage while…
If you’re building agentic AI applications, you’ve probably already hit the wall where your LLM needs to actually talk to a database. Not just dump a schema and hope for the best, but genuinely understand the data model, write reasonable…