Catch the bug
before it ships
to production.
On every PR. Automatically.
LogoMesh infers what your code should do, then attacks those properties with adversarial inputs in a hardened Docker sandbox. When it finds a real crash, you get the exact input, exact output, and file location as a PR comment. When it doesn’t — silence you can trust.
1st place · UC Berkeley AgentBeats · Software Testing TrackThe bugs that
code review
can’t see.
25–35% of production incidents are code bugs catchable before merge. These all shipped because reviewers read the diff but couldn’t run it.
LogoMesh analysis · 20 production postmortems · Apr 2026● catchable by logomeshStripe
Timeout + retry without idempotency key charges customers twice
double-applyUber
Surge multiplier < 1.0 plus coupon produces negative fare total
$0.00 fare on $18 ride
boundary · propertyAuth0
Email verification status persists after address change
order-dependenceGitHub
Repository IDs above 2³¹ bypass auth check via integer overflow
boundary · auth bypassFintech
Transfer debits account before validation — error leaves balance at −$150
state-after-errorStripe
UTF-8 merchant name silently corrupted during Latin-1 conversion
encoding · integrityShopify
JPY treated as USD — zero decimal places causes 100× pricing errors
precision · boundaryKnight Capital
Repurposed feature flag activates dead code path
$440,000,000 in 45 min
state consistencyof developers don't fully trust AI-generated code — only 3% trust it highly
Sonar · State of AI Code Quality · 2026
of dev teams ignore most AI review feedback because it cries wolf too often
Diffray · survey of 1,200+ developers · 2026
fewer false positives when crashes are validated before posting — which is why LogoMesh stays silent until it has proof
FalseCrashReducer · arXiv:2510.02185 · 2025
increase in production incidents per PR year-over-year — as AI code ships faster than test culture can follow
Cortex Engineering · AI Code Quality Report · 2026
Two outcomes.
Nothing else.
When a PR has no exploitable bugs, LogoMesh posts nothing. When it finds one, you get the exact call it made, the property it violated, and exactly what came back. Every comment is a reproducible crash — not a suggestion, not a warning.
●Clean PR — nothing posted
Silence is load-bearing. When you don’t see a comment, you can trust it. The absence of a finding is itself a signal.
●Bug found — PR comment posted
Not a guess — a crash we triggered and confirmed is caller-reachable before posting anything. This is exactly what appears on your PR.
Asks what should
always be true.
Before generating a single test, LogoMesh uses the LLM to reason about your function’s contracts, invariants, and postconditions. This is what it inferred for checkout():
# LLM inferred 3 properties for checkout()
P1: total should always be ≥ 0
P2: item_count should match items array length
P3: applied_discount ≤ subtotal
Actually runs
the code.
Not static analysis. Not an LLM guess. Real execution in a hardened Docker container.
Container environment:
Works on the
next PR you open.
Install the GitHub App. That’s it. No config file. No YAML. No CI integration. LogoMesh listens for PR events and runs the full pipeline automatically.
57% fewer
false positives.
LLM validates every crash is caller-reachable before posting. False positives are the #1 reason developers uninstall.
Seven steps.
One guarantee.
No comment unless step 7 confirms it.
01
⌥AST extraction
Parse changed .py files. Extract public functions. Skip _ prefix, stubs, and trivial wrappers.
02
◈Property inference
LLM reasons about what the function should always guarantee — invariants, contracts, postconditions.
03
⚡Adversarial tests
Generate tests designed to break inferred properties. No try/except. They fail loudly or not at all.
04
⬡Sandboxed exec
Run in Docker: airgapped, nobody user, 128 MB RAM, 50 PIDs. No network. No pip install from PR code.
05
◎Crash classifier
Parse pytest output. Distinguish property violations, unhandled crashes, and noise.
06
⊛LLM validation
Confirm each crash is caller-reachable, not a test artifact. Deduplicate by (input, error type).
07
▲Post if proven
Property + input + output confirmed. PR comment posted with exact steps. Otherwise: silence.
They comment.
We prove.
Every other tool in this category reads your diff and guesses what might be wrong. LogoMesh executes the code and shows you the crash. A comment from us contains the input, the output, and the file location.
| Capability | LogoMesh | CodeRabbit | Copilot | Snyk | SonarQube |
|---|---|---|---|---|---|
| LLM property / invariant inference | |||||
| Adversarial test generation | suggestions only | ||||
| Sandboxed code execution | |||||
| Only comments with concrete evidence | |||||
| Logic bug detection (beyond known patterns) | partial | partial | |||
| Known vulnerability patterns (SAST) | partial | partial | partial | ||
| Zero setup — works on the next PR you open | partial | partial | heavy config |
Install once.
Find the bug
you were about
to ship.
Free for public repos. No configuration. Works on the next PR you open.
Private repos coming soon · No config required