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LogDoctor streams logs from any source in real time — cloud, containers, or on-prem. Connects in under 5 minutes with zero configuration required.
LogDoctor listens to your logs in real time, catches errors, traces the root cause in your codebase, writes the fix, and opens a pull request — before your team even wakes up.
Trusted by 200+ engineering teams worldwide
LogDoctor integrates in minutes and immediately starts protecting your production environment — around the clock, every day of the year.
LogDoctor streams logs from any source in real time — cloud, containers, or on-prem. Connects in under 5 minutes with zero configuration required.
Catches errors, regressions, and anomalies the moment they appear. Groups related events into a single incident with full context and severity scoring.
Reads your entire codebase, traces the call graph, identifies root cause and dependency chains with precision — before you've even seen the alert.
Writes the patch with tests, opens a pull request with full root cause explanation. Your team reviews and merges. That's it.
Most monitoring tools tell you something broke. LogDoctor tells you what broke, why it broke, and fixes it — before your users notice.
Connects to AWS CloudWatch, GCP Logging, Datadog, New Relic, and Kubernetes. Zero latency between error and LogDoctor's detection.
Reads your entire repository, understands module dependencies, traces the call graph, and pinpoints the exact line and reason for every failure.
Generates minimal, targeted fixes that follow your existing code style, patterns, and linting rules. LogDoctor never over-engineers the solution.
Writes unit tests that reproduce the original bug, confirm the fix works, and guard against edge cases — so the same issue never returns.
Opens pull requests with root cause analysis, affected systems, the diff, and a test plan. Your team just reviews and merges.
Every fix includes a confidence score. Low-confidence patches are flagged for human review. LogDoctor never merges code without your explicit approval.
LogDoctor plugs into the tools your team already uses. No vendor lock-in, no migration, no rip-and-replace.
LogDoctor is an AI tool that listens to your production logs in real time, catches errors, traces the root cause in your codebase, writes the fix, and opens a pull request — before your team even wakes up. It acts as your autonomous AI on-call engineer.
LogDoctor streams your production logs, detects errors and anomalies, reads your entire codebase to trace root cause, generates a minimal code patch following your code style, writes tests to verify the fix, and opens a GitHub or GitLab pull request for your team to review.
Never. LogDoctor opens the pull request — your engineers review and merge. Every fix includes a confidence score. Low-confidence patches are explicitly flagged. Your code is always under human control.
LogDoctor supports AWS CloudWatch, GCP Logging, Datadog, New Relic, Kubernetes, Docker, and any stdout-based log stream. It connects in under 5 minutes with zero configuration required.
Yes. LogDoctor reads your codebase in a sandboxed environment for analysis only. It never executes your code in production, and all changes go through your normal pull request and review process.
On average, LogDoctor detects an error, investigates the codebase, generates the fix, and opens a pull request in under 3.2 minutes from the first error occurrence in your logs.
Join 200+ engineering teams who've handed 3 AM incidents over to LogDoctor — and slept right through them.
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