analiza aiqbench
This update expands autonomous coding agents' capabilities by granting them direct access to production logs and health metrics via a new MCP tool, enabling independent investigation and fix testing. The introduction of programmatic health checks for error rates and query management further enhances an agent's ability to operate safely within complex database environments without constant human intervention. These features represent a significant step toward fully autonomous software maintenance and debugging workflows driven by AI agents.
Operate with confidence

More data, more tools and more control so your agent has what it needs to observe your project, investigate issues and propose fixes, autonomously.
Today at Supabase Select, we announced new tools that let your coding agent find production problems, test fixes, and report back, and new controls that set what the agent can access and when it stops to ask you first. Diagnosing a production problem today means reading logs, usage charts, and database reports separately and correlating them yourself. Your agent could already read that data, but it had no procedure for investigating and no safe place to test a fix.…
Extras afișat conform termenilor RSS ai publicației · 79 cuvinte · textul integral și figurile sunt pe site-ul publicației
Subiecte conexe

Presentation: Beyond Observability: Evolving Production Operations in the Age of AI
InfoQ · 1 oct. 2026

Article: Multi-Agent AI for Production Security Operations: an A2A and MCP Architecture in a 5G Core
InfoQ · 23 iul. 2026

Aderant builds intelligent ticket triage with Amazon Nova
AWS · 24 sept. 2026

[AINews] Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)
Latent Space · 17 sept. 2026