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This article focuses on deploying AI coding agents to autonomously monitor production environments for errors, security issues, and performance bottlenecks without traditional monitoring tools. By integrating with Supabase's infrastructure, these agents analyze logs and database diagnostics to provide actionable alerts based on configurable thresholds. The core value lies in leveraging autonomous agents to streamline DevOps workflows and accelerate incident response times in AI-driven development pipelines.
Sources coveringSupabase, Snowflake Blog, SiliconANGLE, CrowdStrike Blog

Operate with confidence: check production with your coding agent

Supabase4 min read

Know when something changes in production, and where to look, without adding a monitoring tool.

At Supabase Select, we shared our goal: a coding agent that helps you build and operate your Supabase project. We shipped tools that give it more data and knowledge. Your coding agent can now check your production Supabase project for error spikes, security issues, slow queries, and resource growth, on a schedule you pick. Teams with apps in production often hear about a problem from their users first. Then they dig through logs and database reports to find the cause. With Agent…

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