dev branch · NOT production · production is falsegreen.comCompare
One Job runs your whole build and test suite, the security checks, and the proofs — and blocks acceptance until they pass.
The feature matrix
✓ means the capability is core to the product. ◐ marks partial or adjacent coverage. — means the product doesn’t do it.
| Capability | FalseGreen | Greptile | Sonar | Snyk | Qodo | CodeRabbit | Semgrep | GitHub |
|---|---|---|---|---|---|---|---|---|
| Primary purposeThe main problem the product is designed to solve. | Independent whole-program acceptance | AI PR review and testing | Static code quality and security | Developer and application security | AI code review and quality rules | AI pull-request review | Code security and static analysis | Repository review, analysis, and merge controls |
| Continuous PR or code reviewReviews changes continuously in the normal developer workflow. | ✓ Yes | ✓ Yes | ◐ Partial | ◐ Partial | ✓ Yes | ✓ Yes | ◐ Partial | ✓ Yes |
| Dedicated security or static analysisSpecialized analysis for code quality, vulnerabilities, or security findings. | ✓ Yes | ✓ Yes | ✓ Yes | ✓ Yes | ◐ Partial | ✓ Yes | ✓ Yes | ✓ Yes |
| Frozen human-defined definition of doneThe frozen acceptance target is established before implementation is judged. | ✓ Yes | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial |
| Frozen Job target preserved through repairThe agreed Job target remains authoritative while the implementation is repaired and reverified. | ✓ Yes | — Not primary | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial |
| Separate Job acceptance authorityA distinct authority decides whether the FalseGreen Job is accepted. | ✓ Yes | — Not primary | — Not primary | — Not primary | — Not primary | — Not primary | — Not primary | — Not primary |
| Job or outcome-level acceptanceAnswers whether the whole program meets the agreed definition of done. | ✓ Yes | — Not primary | — Not primary | — Not primary | ◐ Partial | ◐ Partial | — Not primary | — Not primary |
| Exact-source-bound acceptanceAcceptance belongs explicitly to the exact source state that earned it. | ✓ Yes | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial |
| Repair against unchanged requirementsRepairs can be reverified while the original acceptance target remains frozen. | ✓ Yes | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial |
| Heterogeneous evidence for acceptanceTests, CI, scanners, formal tools, behavior, and inspection can inform one Job decision. | ✓ Yes | ◐ Partial | ◐ Partial | — Not primary | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial |
| Explicit verdictReturns Accepted, Failed, or Insufficient Evidence for the verified program. | ✓ Yes | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial |
| Exact-source enforcementCan enforce an issued decision against the current source state. | ✓ Yes | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ◐ Partial | ✓ Yes |
What you pay them for
Checked against known exploits, with the exact fixed version — and the release is blocked until you bump it.
Found and blocked at the door — before anything leaves your machine.
Static analysis runs inside every FalseGreen Job — findings block acceptance, they don't queue in a dashboard.
The program you ship is inventoried and cross-checked against your manifest. Undeclared components fail the Job.
The whole run — release build, your whole test suite, clippy, rustfmt — on every Job, in under two minutes.
The Gate merges only what a FalseGreen Job accepted.
Additional features compared to competitors
Kani bounded model checking and unbounded Creusot proofs over your core rules — no scanner or reviewer on this page can do that at all.
Your requirements are locked before anyone is graded. The goal cannot move while the work is in flight.
One price covers the first run plus seven fix-and-recheck rounds against the same frozen goal.
The verdict ships with its evidence in a report you can verify offline, on your local machine, at any time.
What to keep
A FalseGreen Job verifies the code you run it on. Between Jobs, GitHub Dependabot gives dependency alerts for free — free is the reason to keep it, and the reason not to pay a vendor for the same notices.
AI reviewers catch what AI-written code got wrong — after the fact, with comments for a human. A FalseGreen Job does it instead: AI code arrives with tests and proofs, and is accepted by the FalseGreen or sent back for repair before it can merge.
FalseGreen plus free Dependabot covers the lot — and does the part none of them do: it stops.
Tool by tool
No. Greptile reads the diff and flags what looks wrong. A FalseGreen Job compiles the code, runs your full test suite, checks security, and refuses the verdict until what's wrong is fixed.
See the answer →No. Sonar scans code and reports problems; a FalseGreen Job fails the verdict until they are fixed — on a real build and your real tests, not just pattern rules.
See the answer →No — except free alerts between Jobs. A FalseGreen Job checks dependencies on the exact source at verification time, names the fix, and blocks acceptance on what it finds.
See the answer →No. Qodo generates tests and reviews for quality. A FalseGreen Job requires tests and proofs, runs whatever the project has, and decides whether the code does what you asked.
See the answer →No. CodeRabbit comments on the diff; a FalseGreen Job fails the verdict until the diff works — built, tested, secured, and proved.
See the answer →No. Static analysis runs inside every FalseGreen Job on the exact source — and findings gate acceptance instead of waiting for someone to read a report.
See the answer →The free parts — Dependabot alerts, basic code scanning — cost nothing, keep them. The paid Advanced Security seats are covered: a FalseGreen Job does the checking and gates the merge.
See the answer →Not just tools
A FalseGreen Job is in the verification business — the same business pentest firms, human audit shops, and certification programs are in. Here is what that business costs today.
$18,300
Human testers, weeks of calendar, a human opinion at a point in time — that a machine re-checks nothing afterwards.
$25,000
Typical engagements run $80,000–$200,000+. Of 245 recent security incidents, 147 hit platforms that had already passed a human audit.
$2,999
Whole program, frozen contract, machine verdict in minutes, seven free re-checks, a report anyone can re-verify offline.
The final comparison
$4.44M
Average global cost of a data breach — $10.22M in the US. One Job is 0.07% of the average.
$2M / hour
Median cost of a high-impact outage for large enterprises. 41% report $1M–$5M per hour.
88%
Of money stolen in 245 recent incidents was on platforms that had already passed human audits.
Sources, methodology, and the full price ladder: verification costs.