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A Semgrep, Snyk, SonarQube, or CodeQL alternative that proves findings and runs locally

RedMirror Reflection is a local alternative to Semgrep, Snyk, SonarQube, and CodeQL that proves each finding. Those tools excel at patterns, dependencies, quality, and data-flow, but none prove a business-logic or authorization bug is reachable. Reflection is an MCP server your coding agent drives: it returns a concrete, replayable attack path or a bounded proof none exists, on your machine.

What is each tool actually good at?

These are strong, widely-used tools, and the fair way to compare is to name what each does well before naming the gap.

So what is the shared gap RedMirror fills?

All four are built to recognise or trace patterns. Semgrep, Snyk, and SonarQube match syntax and known-vulnerable shapes; CodeQL traces data-flow along source-to-sink paths. That is exactly the right tooling for injection, unsafe sinks, and vulnerable dependencies. It is the wrong shape for the bugs an AI coding agent most often introduces: a broken authorization check one path skips, a discount that stacks to a negative total, a counter driven past its bound. Those are syntactically fine, so there is nothing to pattern-match, and the real question is not "does this look wrong" but "is there any reachable sequence of inputs that breaks it." Answering that needs state-space reasoning and a proof, which is what RedMirror adds, locally, alongside your existing tools.

How do Semgrep, Snyk, SonarQube, CodeQL, and RedMirror compare?

ToolPrimary strengthBusiness-logic / authzProof + reproductionFalse positivesRuns local / offline
SemgrepFast, writable pattern rules; strong CI and dev ergonomics; large community rulesetOnly if you hand-write the exact rule; no reachable-state reasoningNo: pattern match (SCA adds a reachability heuristic)Rule-dependent; needs tuningYes, OSS CLI; the AppSec platform is hosted
SnykBest-in-class dependency (SCA), container, and IaC scanning with fix adviceLimited; centered on known-vuln patterns and dependenciesNo: reports and fix guidance, not a counterexampleDependency findings precise; SAST variesMostly cloud; the CLI sends to Snyk's backend
SonarQubeCode quality, maintainability, and security at scale; quality gatesLimited; quality rules and taint, not reachable authz logicNo: highlights a taint path, no executable reproCan be noisy; hotspots need manual reviewYes, self-hosted server (SonarCloud is hosted)
CodeQLDeep semantic data-flow and taint analysis; powerful for injection-class bugsSome, via custom queries; stateful logic is hard to expressPartial: shows a source-to-sink path, not an executed counterexampleRelatively high precision for its query setYes, CLI runs locally (results often sent to GitHub)
RedMirror ReflectionProves reachable logic, state, and authorization bugs with a replayable counterexampleYes: home turf; models reachable state, refutes authz, conservation, and ordering invariantsYes: concrete replayable attack path, or a bounded proof none existsKernel gates: an unproven claim never becomes a findingYes, fully local; the kernel's checking uses no tokens

The honest reading: several of these already run locally, and each is the best choice for its own job. RedMirror is different on two axes at once, proven business-logic and authorization coverage and a replayable proof, and it keeps the whole loop on your machine.

How is a proof different from a pattern match or a data-flow path?

A pattern match says "this shape appears." A data-flow path, as CodeQL produces, says "tainted data could travel from here to there," which is genuinely strong evidence but still a claim about exploitability that a human then confirms. A proof means producing the concrete input or sequence of calls that drives the program into the bad state, so you can replay it and watch it happen, or a bounded proof that no such path exists. In RedMirror the kernel, not the model, decides whether a finding is real, which is why the false-positive flood does not happen: an unproven claim never reaches you. On a vibecoded checkout API, for example, an agent using Reflection proved two reachable bugs, coupons that stack to a zero total and a negative price that charges a negative amount, and each fix was re-verified afterward.

When should you use RedMirror, and when should you keep the others?

Use RedMirror where a reachable state is the risk: authentication and authorization, payments and pricing, access control and multi-tenant boundaries, quotas and rate limits, and anything a coding agent generated that touches those. Keep Snyk for dependency CVEs, license compliance, and container or IaC scanning; keep Semgrep or SonarQube for fast pattern coverage, code quality, and quality gates; keep CodeQL for deep data-flow on injection-class bugs. RedMirror is not a secrets scanner, a dependency-CVE scanner, or a code-quality tool, and it needs a coding agent to drive it, because the agent proposes the claim the kernel then proves. It is the proven-logic layer you add on top, not a wholesale swap.

How do you set it up?

Install the binary, activate your licence, and wire it into your coding agent. From then on you ask the agent to "verify this change" and it reports only what the kernel proves.

curl -fsSL https://dist.redmirror.io/install.sh | sh   # macOS / Linux
redmirror-reflect license activate <your-key>
redmirror-reflect init claude                          # or cursor, codex, gemini, pi, dsh, ci

On Windows, install with irm https://dist.redmirror.io/install.ps1 | iex. Any MCP-capable agent works; full per-editor setup is in the docs.

Frequently asked questions

Is RedMirror a replacement for Semgrep, Snyk, SonarQube, or CodeQL?

Not exactly; it is complementary. Keep Snyk for dependency CVEs, Semgrep or SonarQube for pattern and quality coverage, and CodeQL for deep data-flow. RedMirror adds the layer none of them cover: a proof that a reachable business-logic or authorization bug exists, with a replayable counterexample, on your machine. Many teams run RedMirror alongside one of the others.

Do Semgrep and Snyk find business-logic and authorization bugs?

Only to the extent you can encode the exact pattern as a rule. They match syntax and known-vulnerable dependencies well, but a broken authorization check or a discount that stacks to a negative total is usually syntactically fine, so there is nothing to pattern-match. Deciding whether a bad state is reachable needs state-space reasoning, not pattern matching.

How is RedMirror different from CodeQL?

CodeQL is powerful semantic analysis: you write queries over a code database and it traces data-flow and taint, which is excellent for injection-class bugs. It shows a source-to-sink path, but that path is still a claim about exploitability, and stateful invariants like authorization reachability, value conservation, and ordering are hard to express and need query expertise. RedMirror's kernel searches reachable states and returns an executable counterexample or a bounded proof, and your coding agent drives it instead of you authoring queries.

Does RedMirror run locally like the others?

Yes. Reflection runs on your machine and your source never leaves it, and the kernel's checking uses no tokens. Semgrep's open-source CLI, a self-hosted SonarQube server, and the CodeQL CLI also run locally, while Snyk's analysis is primarily cloud-based. RedMirror is local for both the analysis and the proof.

What does it mean to prove a finding?

It means producing the concrete input or sequence of calls that drives the program into the bad state, so you can replay it and watch it happen, or a bounded proof that no such path exists. The compiled kernel, not the model, decides what counts, so an unproven claim never reaches you as a finding.

Is it open source, and what does it cost?

No, it is a licensed binary rather than open source, and your code and your model stay yours. There is a free 7-day trial, no card, then it is $4.99 per seat per month.

Sources and related reading