Code changes outrun our understandingSee how every change behaves before it merges
AppMap records and compares application behavior. Recording happens locally, in your environment, and the key traces are committed to the repository with the code. Coding agents query those traces and verify their changes against them. Developers inspect the same behavior as diagrams.
With AI coding agents, code is shipping fast. Confidence is not.
AI writes more of the code every month. Developers and coding agents still have to work out what each change will do when it runs.
- 96%
of developers do not fully trust AI-generated code
Sonar, 2026 - 70%
of software leaders say quality has already degraded as AI sped up delivery
SmartBear, 2026 - 60%
hit quality issues last year because code outran testing
SmartBear, 2026
Catch unexpected behavior while the change is still in the editor.
AppMap gives developers and coding agents runtime evidence as they work, so they can investigate calls, queries, exceptions, and side effects before the change merges.
Accelerate review and acceptance of AI code changes
AppMap runs locally in development and centrally in the pull request flow and CI, across large codebases and many teams. Reviewers, coding agents, and compliance teams see the same record of what each change did, so organizations can accept changes faster.
See the full runtime behavior analysis, with the standards it maps to →
What developers say about AppMap
Rated five stars by developers across the Visual Studio Code and JetBrains marketplaces, from a community of more than 100,000 developers.
"Helped me better understand and analyze the hierarchy and structure of my applications. Looks awesome, performs great, and provides truly invaluable feedback."
"An awesome plugin for sequence diagrams."
"AppMap improves productivity on both fronts, coding and documentation. It has become an inseparable part of our development process."
Review behavior before it ships.
Keep the code review. Add a review of what the change did when it ran. AppMap compares fresh traces with the base revision and shows what held and what changed. Developers inspect the diagrams. Coding agents query the same traces. The findings can go straight to the pull request.
A real review, from a production application maintained mostly by AI agents
Two code paths wrote the same record. Each was correct alone. Every test passed.
The handler now locks the row before the ownership check. The recorded SQL confirms it: the read is now SELECT … FOR UPDATE.
1 trace changed by the fix. The other 39 stayed byte-identical.
See what every change does.
AppMap runs in development and CI, before code merges. Each change produces fresh traces. AppMap turns them into maps developers can inspect to see what ran, what the change touched, and where behavior moved.
Three representative views. Explore the broader visual set in your editor before the change merges.
Does runtime context improve AI coding performance?
In one internal study, yes. Under a three-tool-call limit, agents using AppMap reached 100% root-cause accuracy. Source-only agents reached 28%. For an organization running agents across many repositories, that means fewer investigations ending without a diagnosis.
In the primary study, the source-only condition cost about 3.4 times as much.
The lowest-cost configuration that solved every primary-study case was a compact model reading traces.
One internal study, Claude models. Method and limits in the benchmark.
Go deep before you merge.
Production and canary tracing are built to observe systems continuously with limited overhead. AppMap records deeply in development, capturing the code-level execution path, queries, HTTP calls, exceptions, and relationships behind the recorded runs. The result is information-dense context developers can inspect and coding agents can query before the change merges.
Canary / post-deploy
Broad, lightweight telemetry
- API
- Service A
- Service B
- Database
AppMap in development
Deep execution context
POST /charge PaymentController#charge ChargeService#authorize RetryPolicy#wrap LedgerService#write SQL INSERT ... IdempotencyStore#check SQL SELECT ... HTTP -> risk-service 200 OK · 142ms
Observe broadly in production. Understand deeply in development. More information per run gives developers and coding agents better context before merge.
Find problems that only show up when the code runs.
Deep runtime evidence adds to what the code review shows. See performance problems, security and correctness issues, and unexpected changes while the code is still in development.
The traces give coding agents runtime knowledge they cannot obtain any other way, current at every commit.
Teams start free in their own repositories. AppMap Enterprise adds airgapped deployment, internal distribution, organization-registered installs, and telemetry into your internal observability systems for running Gold Trace programs at scale.
- Slow requests
- N+1 queries
- Repeated SQL
- Expensive execution paths
- Auth gaps
- Exceptions
- Unsafe calls
- Unexpected side effects
- API changes
- Query changes
- New dependencies
- Unexpected drift in application behavior.
Know what your software does before you merge it.
Maps for developers. Runtime context for coding agents. Behavioral diffs before merge. Start free in VS Code or JetBrains.
