Reality-based AI regression harness
Replay tens of thousands of real calls as deterministic conversations with production context so AI-authored handlers prove they still honor contracts, headers, and latency budgets.
AI writes the code. Speedscale provides the missing context.
Runtime validation for Claude Code, Cursor, Copilot, and MCP agents.
AI coding tools generate code 10x faster—but they've never seen your production traffic. Speedscale captures real request patterns and replays them against AI changes, catching behavioral failures that static analysis can't see.
No credit card required • 5-minute setup • 30-day free trial
Trusted by teams shipping AI-assisted releases
FLYR, Sephora, IHG, and platform teams worldwide lean on Speedscale to replay real bookings, loyalty lookups, and commerce flows before merging agent-authored code.
The validation gap
Production traffic is the only source of truth.
Speedscale drops your live recordings into deterministic sandboxes with production context, so every AI-assisted pull request ships with proof based on repeatable requests and responses. Make replicating real production services as easy as running a test.
Old way
Ship whatever the static checks bless
- Static analysis, unit tests, and linters make bad assupmtions about how the code runs.
- Pull requests get rubber-stamped because nobody can review 1000 lines of AI generated code.
- Engineers rebuild or babysit staging clusters every time AI touches the stack.
Speedscale reality check
Replay live traffic before merging AI code
- Capture from production, then hand the traffic to Claude Code, Cursor, Codex, Antigravity or Copilot to see it's mistakes.
- Spin up disposable sandboxes that replicate your backend systems, with PII-safe payloads and deterministic environments for every incoming test.
- Attach validation reports to every PR so reviewers see failing calls immediately.
Static tools grade syntax. Speedscale grades reality.
Use the comparison below to show stakeholders exactly where the Validation Gap lives in your pipeline.
| Capability | Static analysis | AI self-correction | Speedscale |
|---|---|---|---|
| Understands real production variability | Schemas only. No live traffic. | Guesses from diffs and prompts. | Replays captured conversations byte-for-byte. |
| Confirms downstream contracts | Focuses on syntax and lint. | Relies on the model to self grade. | Validates payload formats, auth, and SLAs. |
| Runs inside CI without staging debt | Yes, but limited coverage. | Needs human babysitting. | Drops recorded traffic into any pipeline while standing up precise replicas of downstream systems with realistic data—without the cost and headaches. |
| Creates audit-ready evidence | Log output at best. | Opaque reasoning. | Produces diff reports and PR-ready reports. |
Static tools are spellcheck. Speedscale is the contract review.
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Surface the exact request that an AI-generated change broke, not just a stack trace.
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Share traffic snapshots with MCP agents so they can reproduce defects with production context without downloading prod data.
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Compare before vs after latency, payloads, and retries as deterministic runs in a single diff report.
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Attach validation reports directly to GitHub, GitLab, or Bitbucket pull requests.
Only runtime validation catches AI regressions
Drop Speedscale into your CI run or MCP workflow to prove AI-authored code behaves exactly like production—before customers ever touch it.
Why Speedscale?
Close the Validation Gap across environments, data, and AI-driven release cadences.
Capture real traffic from any surface
Proxy Kubernetes, ECS, desktop, or agent traffic once and share the snapshot with every branch without recreating environments.
Validation Gap dashboard
See exactly where static tooling stops and runtime validation starts so you can prioritize the riskiest AI diffs first.
PII-safe AI sandboxes
Mask sensitive fields automatically while preserving structure so governance teams sign off on replaying production data.
MCP-ready testing context
Give Copilot, Cursor, Codex, Antigravity and Claude agents the exact requests and responses they need to triage regressions without guesswork.
PR-ready validation reports
Attach machine-readable diffs, severity, and remediation guidance directly to pull requests so reviewers stay unblocked.
Ready to validate AI code with real traffic?
Replay live traffic, redacted payloads, and contract diffs before you merge the next AI-assisted pull request.