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Sentry Seer alternatives

Six ways to get AI fixes for production errors: Interfere, your own agent, Rollbar Resolve, Datadog Bits Code, Better Stack and PostHog
LG

Levi Gans

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Comparisons

The idea for Interfere first took shape in 2023, inside our own product. We knew it had hundreds of bugs spread across microservices and background jobs. Sentry caught them reliably, but we couldn’t cut through the noise to see which ones actually mattered.

That was a grouping problem before it was anything else. Grouping decides what a team looks at first, and most of what we’ve built since grows out of the same questions: which errors belong together, which of them matter, and why they happened.

Those questions matter more now than they did then. Agents write a growing share of the code, and teams are starting to work like software factories, shipping changes continuously and many of them not written by a person. In that world, writing a fix gets cheap. Knowing which problem deserves one, and whether the fix actually worked, doesn’t. That’s the future we’re building Interfere for.

Seer is Sentry’s take on the fixing step. It’s Sentry’s AI debugging agent. It scans issues as they arrive, works out a likely root cause from Sentry’s issue details, traces, logs and profiles, and can write the fix and open a pull request. If your team already lives in Sentry, it’s a reasonable place to start.

There are a few reasons teams look further. Sentry has deprecated Seer Code Review and will remove it on December 8, 2026, though Autofix stays. Seer only supports GitHub.com and GitLab.com, so teams on GitHub Enterprise Server or GitLab Self-Managed can’t connect it. Seer Agent, the chat that investigates and takes action in Sentry, is still in open beta, and it needs Open Team Membership because it queries the whole organization without finer-grained access controls yet.

The last reason matters most to us. Seer runs its own root cause analysis and planning before it hands off to Claude Code, Cursor or GitHub Copilot, and a lot of teams already have an agent they trust. They’d rather that agent did the whole job.

We compared six alternatives using each vendor’s own documentation.

At a glance

ToolDiagnoses fromHow the fix gets writtenMCP for your own agent
Sentry SeerSentry issues, traces, logs, profiles and your codeSeer opens a pull request, or hands off to Claude Code, Cursor or CopilotYes
InterfereErrors, sessions, traces and releases, grouped into problemsInterfere suggests a fix and can open the pull request if you turn that on; your agent or an engineer can tooYes, read-write or read-only
Sentry with your agentSentry data, read through the Sentry MCP serverYour agent writes itYes
Rollbar ResolveRollbar errors, session replays and deploysResolve writes it, runs your tests and opens a pull requestYes
Datadog Bits CodeDatadog Error Tracking, APM and other Datadog dataBits Code opens a pull request and iterates on CI failures and review commentsYes
Better Stack AI SREService map, traces, logs, metrics, errors and web eventsIt opens a pull request for new errors in GitHubYes
PostHogErrors with the session replay, events and properties behind themYour agent through PostHog’s MCP, or PostHog AIYes

Interfere

Interfere is a fundamentally different tool, built for the new era of software factories. Seer is an agent that lives inside Sentry. Interfere is where your agents and engineers start from. It groups errors, sessions and traces into problems, ranks each one by the users and companies it affects, and attaches findings that point to the release, pull request and commit most likely behind it.

Every problem comes with a suggested fix. Interfere can open the pull request too, but that’s a setting you turn on, and it’s off when you start, so by default the change stays with you. Any agent that supports MCP can also pick up the full investigation and write the change, whether that’s Claude Code, Cursor, Codex, Grok Bot or an engineer. The MCP server has a read-only endpoint for agents that should only investigate.

The work doesn’t stop at the merge. After a fix ships, Interfere keeps watching until the problem actually stops, and reopens it if it comes back.

It’s built for web apps on Next.js, React, Vite and TanStack Start. If that’s your stack and you want bugs triaged before anyone has to ask, start here. Interfere vs Sentry covers the wider comparison, and the Grok Bot guide shows one way to run fixes on a schedule.

Sentry with your own coding agent

You don’t have to leave Sentry to replace Seer. The Sentry MCP server gives an agent like Claude Code or Cursor access to your issues, events and traces, and the agent does the root cause analysis and writes the fix in your repository. Unlike Seer’s own handoff, which runs Seer’s analysis first, this route doesn’t use Seer at all.

The trade-off is that the workflow is yours to build. Triage, prioritisation and checking that a fix actually worked all fall to you and your agent. For teams who are happy with Sentry and already rely on a coding agent, that’s often a fair trade.

Rollbar Resolve

Resolve is Rollbar’s fixing agent, and its approach is careful. You choose which errors it handles. It reads the code around the error, writes a fix in an isolated environment, runs your tests and only then opens a pull request. It learns from what you change in review, and you set its scope, cadence and spend.

Rollbar also has session replay and an MCP server for your own agent. If you want fixes that have already passed your tests by the time anyone looks at them, Resolve is the closest match.

Datadog Bits Code

Bits Code is Datadog’s coding agent. In Error Tracking it diagnoses issues and generates fixes on demand or automatically, using the same data behind your Datadog dashboards. It opens pull or merge requests, watches CI to fix failures, and responds when you mention @Datadog in a review comment. It never merges on its own.

It also supports far more Git hosts than Seer: GitHub including Enterprise Server, GitLab including Self-Managed, Azure DevOps Cloud, and Bitbucket on the Premium plan. Datadog notes that it can’t yet investigate across multiple repositories. If you’re already on Datadog, or your Git is self-hosted, it’s the obvious one to try.

Better Stack AI SRE

Better Stack’s AI SRE looks wider than application errors. It investigates incidents across an eBPF service map, OpenTelemetry traces, logs, metrics, errors and web events, suggests hypotheses for what went wrong, and opens pull requests with a suggested fix for new errors in GitHub.

It works in Slack, Microsoft Teams and Claude Code through its MCP server, and Better Stack says it never takes an action without your approval. Incident management and on-call are built in. It suits teams whose problems are as often infrastructure as code.

PostHog

PostHog comes at this from product analytics. Its error tracking attaches the user’s session replay, events and properties to every issue, and its MCP server lets Cursor, Claude Code, VS Code and other agents inspect stack traces, generate fixes and update issue status from your editor. PostHog AI, the in-app assistant, can find issues and help write the fix too.

If your team already uses PostHog, having that product context next to every error is a real advantage.

Choosing between them

If you’re happy with Sentry and already use a coding agent, connect it to the Sentry MCP server before you buy anything new. If you want fixes that arrive with your tests already passing, look at Rollbar Resolve. If you’re on Datadog or self-hosted Git, Bits Code fits best, and if your incidents are as often infrastructure as code, Better Stack covers more ground. PostHog makes sense when you want analytics and errors in one place.

And if you build web apps and want problems triaged for you and fixed by whichever agent you choose, try Interfere.