Guardrails for AI-Generated Code
Static tests check your code at rest. ReGrade®'s patented runtime-behavior comparison checks it in motion, catching regressions, vulnerabilities, and performance issues before they reach production.
Research
Joint study with AFRL
Published studyReGrade® helps AI coding agents fix 152% more bugs.
Every model we tested fixed more bugs.
A joint study with the Air Force Research Laboratory, cleared for public release. 17 language models from 6 providers, and the median model fixed 152% more bugs at a median 42% lower LLM API cost per bug fixed.
The study supplied behavioral evidence in the agent's initial prompt.
See the evidence for this →How it works
Compare behavior before you approve a release.
ReGrade catches regressions in HTTP APIs by comparing a new build with recorded behavior from the current version. See changes in responses and latency before release.
1
Record
A sensor acts as a proxy in front of your application and records real HTTP traffic. Capture QA sessions, developer testing or existing automation to build a reusable baseline.
2
Replay
Replay the traffic against a new build and compare every response with the recorded responses. Profiles normalize rotating IDs, tokens and timestamps so meaningful differences remain.
3
Compare
Review deltas (response differences) by severity and label them as known or dropped. ReGrade also compares latency overall and per endpoint. Inspect results in the web UI, through the API or with MCP. In CI, unexplained deltas or latency regressions can block a merge.
Use Cases
QA recordings
Record manual or scripted QA sessions once, then replay them against every new build. No test scripts to write or maintain.
Dev testing
Record traffic against current code, make a change or refactor, then replay locally. Catch unintended changes in behavior or speed before you push.
CI testing
Replay recordings against each merge request's build. The pipeline fails on unlabeled deltas or latency regressions, so reviewers see exactly what changed.
CI enterprise dashboard
See every project's health from its latest merged change and a recent trend. Statuses are red, amber, stale, green or grey, so leads can spot unexplained regressions and projects that haven't been tested lately.
Why ReGrade
Why teams use ReGrade
Three minutes on the problem it solves: catching the changes no test asserts, knowing a release holds up under load, and proving a refactor behaves like the code it replaced.
Want to watch one run start to finish? See the runnable demos. Each one has a repo you can clone.
Risks
The code is changing. The risks are growing.
Case study
A vulnerability hid for 7 years. Zero tests caught it. ReGrade found it on the first replay.
A widely-used open-source platform shipped a password hash disclosure bug for 7 years. Standard tests passed every day. ReGrade caught it on the first replay, without knowing the vulnerability existed.

example ReGrade merge request comments
7 Years
Undetected
First Replay
Found Immediately
Zero Prior Knowledge
Used existing tests
What tests miss
What testing and code review miss
Tests verify what you expect. ReGrade catches what you don't.
Slow before anyone complains
ReGrade compares P95 and P99 latency across versions, so a release that quietly got slower is a number you see on the merge request rather than a support ticket next week.
Zero-Day Discovery
By comparing actual responses against a known-good baseline, ReGrade surfaces vulnerabilities that no test was written to find, because no one knew they existed.
Give your agents evidence for repairs
ReGrade supplies behavioral findings to the coding agent so it can attempt repairs. Your engineers review the changes and decide which differences are acceptable.
See how ReGrade compares with unit, contract, snapshot, DAST and manual testing
Workflows
It meets your team where they already work
MCP Server
Connect your coding agents through MCP so they can investigate behavioral differences and attempt repairs.
Merge Request Analysis
Automatically analyze candidate builds before merge. ReGrade comments appear alongside your code review with specific field-level findings.
Preview Before Deploy
Replay production traffic against your candidate version in a safe environment. Inspect differences on the requests you replay before approving a release.
Evaluation
Plan a ReGrade evaluation
Choose one service and compare a baseline with a candidate build. Discuss what changed, how your team will review findings, and what recording and replay will cost.
