Know what your code change can break, before it reaches production.
Connect your repositories, databases, and infrastructure. PrashFlow Impact discovers how they're actually related, and when a PR lands, it predicts what can break, runs the PR's own real test suite, verifies each prediction against your real connected infrastructure, and gates CI/CD on that evidence, not an AI's opinion alone.
A CI/CD gate that means it, because it checks its own work
Most impact predictions stop at a confidence percentage. PrashFlow Impact goes further: it can actually run the PR's own tests and check its predictions against your real infrastructure, so a finding that says REPRODUCED means something ran and confirmed it, not that a model sounded sure.
See the actual blast radius
A real System Graph, built from your connected repositories, databases, and infrastructure, not a guess. A PR's impact is walked outward from the code it actually touches.
Predictions that get checked
Real Execution actually runs the PR's own test suite, and every finding gets checked against your real systems. A prediction either gets confirmed or disproven, never left as a permanent guess.
AI does the analysis, evidence decides the gate
Your configured AI Gateway provider can identify findings directly from a PR's real diff and the real System Graph. The CI/CD gate itself stays a deterministic policy engine, so the AI never quietly becomes the thing deciding pass or fail.
An agent that can't go rogue
The AI agent can look and analyze, but it was never given a way to run commands or change anything, by design, not by a setting an admin could toggle on.
Wire it into your CI/CD pipeline
Gate your pipeline directly on the result, use the deterministic engine or hand the analysis to your configured AI provider instead, same report either way.
Own your infrastructure, own your data
Self-hosted on infrastructure you control, the same architecture as every other PrashFlow product. Credentials and keys stay encrypted at rest and are never sent to an LLM.
Every team ships PRs blind to what's downstream
None of these are exotic edge cases. They happen on every team past a handful of services.
You don't know what a PR actually reaches
A one-line change to a shared library can ripple through a dozen services. Without a real dependency graph, nobody finds out until something downstream breaks in production.
A CI gate that runs on gut feeling
Manual review catches what a reviewer happens to notice. A finding that was never actually checked against real infrastructure is just a guess with a confidence percentage attached to it.
An AI tool that can't check its own homework
An LLM will confidently describe a risk that isn't real, or miss one that is, with no way to tell which is which. Nothing changes that unless the prediction actually gets tested against something real.
Predict, test, prove, decide
Every PR goes through the same four real stages.
Connect
Link your repositories and systems. Discovery maps how they're actually related.
Predict
A PR lands. Impact walks the blast radius and produces findings grounded in the real change.
Prove
Real Execution runs the PR's own tests and checks each finding against your real systems. Predictions get confirmed or disproven.
Decide
A policy gate turns the current findings into Pass, Warn, or Block, with a written-reason override path for when a human needs to say otherwise.
What's actually built today
No roadmap items, no "coming soon." This is what runs in the app right now.
System Graph and blast radius
Discovery scans your connected repositories and proposes how they're related, for you to review. See exactly which services and systems a PR's change actually reaches, with one click to view everything affected at once.
Impact score, from real findings
Every factor in the score only counts if a real finding was actually generated from the change, never from raw connectivity alone. A safe refactor scores low even in a densely-connected system.
Real Execution
Runs the PR's own test suite against your real, connected systems, or an isolated sandbox when nothing else is reachable. Real results, never simulated.
Real finding verification
Every applicable finding gets checked against your real, connected systems before it's reported as confirmed, not left as an unverified guess.
AI PR Analysis
Alongside the built-in engine, your configured AI provider can identify findings directly from the PR's real change and the real System Graph, then optionally auto-verify what it finds against your real infrastructure. Available from the PR page or your pipeline.
CI/CD policy gate
Pass, Warn, or Block, computed from the current findings, never decided by the AI itself. A written-reason override flips a Block to a logged Warn, never a silent bypass.
Bring your own AI provider
Connect the AI provider you already use, with budget and rate limiting, and usage tracking, so cost and access stay under your control.
Live connection health
Every connection is re-checked regularly in the background. A connection only ever shows Connected when it was actually, recently reached, never a saved-and-forgotten status.
The AI does the analysis. Evidence still decides.
Your configured AI provider reads the PR's real change and the real System Graph, then reports findings in a fixed, structured format, never free-form guessing. No provider configured, or nothing to analyze, and it says so honestly instead of returning something fabricated.
- Grounded in the PR's real change and the real graph, never invents a file or service that wasn't there
- Optional auto-verify runs every applicable finding through the same real checks a manual Verify click uses
- Available from the PR page, or your pipeline, same report either way
Not a simulated test run. An actual one.
Real Execution runs the PR's own real test command against your real, connected systems where one's reachable and permitted, or an isolated sandbox otherwise. Every connected system it uses is scoped to exactly what that project was actually given, nothing else.
- Real results, real logs, monorepo-aware
- Works with your connected systems out of the box
- Nothing real reachable, and it says so, never pretends to have run
The AI can look. It was never given a way to touch anything.
The AI agent is read-only by design, never given a way to execute commands or change anything, enforced by design, not an admin toggle.
Your PR
real change, real repository, stays yoursImpact Engine
graph reach · findings · scoreYour CI/CD gate
Pass · Warn · Block, decided by policyYour infrastructure. Your data. Your control.
We deploy the full stack directly on infrastructure you own, wired into your pipeline to gate on real evidence. Nothing about your code, your changes, or your infrastructure ever leaves your environment.
Questions, answered
See what your next PR actually reaches.
Self-hosted, evidence-based, and ready to gate your pipeline today.