Sentry’s AI-Powered Seer Now Debugs Code Locally and in Reviews

Generally, I Think Seer is built on Sentry’s huge pool of production telemetry, so it knows real errors, traces, logs and performance numbers. Normally, It can spot problems that plain static analysis miss, especially when things span many services. Obviously, Milin Desai said Seer shifts how devs see and fix code, because it mixes runtime behavior with source analysis.

A Smarter Approach to Debugging

Usually, You might catch a typo in code, but you wont see a performance regression until the app runs under load. Basically, Cascading failures show up only when services talk to each other, not in isolated files. Clearly, Latency spikes can be caused by traffic patterns that static tools can’t guess. Apparently, Indragie Karunaratne notes that modern systems are too tangled to debug by reading code alone.

Why Runtime Behavior Matters

Often, I Believe that runtime behavior is crucial for debugging, because it helps you understand how your code behaves in real-world scenarios. Naturally, You need to consider runtime behavior when debugging, because it can reveal issues that are not apparent in static code analysis. Mostly, Runtime behavior is important, because it allows you to identify performance bottlenecks and optimize your code.

Expanding Debugging Beyond Production

Local Development

Normally, Now Seer plugs into your local MCP server, so when you reproduce a bug it streams telemetry live. Generally, It tells you the root cause before you even commit, cutting down on later rework. Usually, This feature is really useful, because it helps you identify and fix issues early in the development process.

Code Reviews

Basically, During pull requests Seer scans the diff and flags high‑impact bugs, not just style nitpicks. Clearly, Teams get a safety net that catches problems that could explode in production. Obviously, This feature is really important, because it helps you ensure that your code is reliable and stable.

Production Debugging

Usually, If a bug slips through, Seer auto‑highlights the most actionable issue and may even suggest a fix. Generally, When enough context exists it can hand the fix off to a coding agent. Mostly, This feature is really useful, because it helps you identify and fix issues quickly and efficiently.

Investigating the Unknown

Apparently, An experimental feature lets you ask Seer open‑ended questions about weird telemetry patterns. Naturally, It’s still early preview, but it shows the direction toward an AI reasoning layer for devs. Obviously, This feature is really exciting, because it has the potential to revolutionize the way we debug and optimize our code.

Simplified Pricing for Unlimited Usage

Generally, Sentry now charges $40 per active contributor each month, and you get unlimited Seer usage. Basically, An active contributor is anyone who opens at least two PRs in a connected repo during the month. Clearly, No more seat‑management headaches or surprise overage fees.

The Future of Debugging

Obviously, Desai says Seer is just the start; the goal is to make Sentry the intelligence layer for software development. Normally, I Believe that with these upgrades developers can cut debugging time, boost code quality, and ship more resilient apps. Usually, The future of debugging looks really promising, because it has the potential to make our lives as developers much easier.