How does GauntletCI compare to SonarQube?

SonarQube analyzes the entire codebase on a schedule and requires a server, account, and network access. GauntletCI analyzes only the lines that changed in the current diff, runs entirely on the developer's machine in under one second, requires no account or cloud connection, and installs as a pre-commit hook. SonarQube is a full codebase quality platform; GauntletCI is a focused change-risk detector that runs before a commit is ever created.

How does GauntletCI compare to Semgrep?

Semgrep is a pattern-matching engine that scans files or the full codebase. GauntletCI scopes every rule to the changed diff, meaning it only flags risks introduced by the current change, not pre-existing issues in unchanged files. GauntletCI also includes incident correlation, local LLM enrichment, and baseline delta mode, which Semgrep does not offer. GauntletCI's free tier includes all rules with no account required.

How does GauntletCI compare to Snyk?

Snyk is primarily a dependency and container vulnerability scanner that requires cloud connectivity and a Snyk account. GauntletCI detects behavioral, structural, and security risks in first-party code changes, not dependency vulnerabilities, and runs 100% locally with no data transmitted. GauntletCI is suitable for air-gapped environments and organizations with strict data residency requirements; Snyk is not.

How does GauntletCI compare to CodeQL / GitHub Advanced Security?

CodeQL performs deep semantic analysis of the full codebase and requires compilation and significant compute time, typically minutes per run. GauntletCI analyzes only the changed diff in under one second with no compilation step, making it suitable as a pre-commit hook in the developer's local workflow. CodeQL is better for periodic deep security audits; GauntletCI is better for fast, continuous feedback on every commit.

How does GauntletCI compare to Code Climate?

Code Climate is a SaaS platform that analyzes full repositories for maintainability and test coverage trends over time. It requires uploading code to a cloud service. GauntletCI is fully local, diff-scoped, and focused on change risk rather than codebase health metrics. GauntletCI does not require a cloud account, never transmits code, and produces results in under one second, making it a complement to, not a replacement for, Code Climate's longitudinal reporting.

Does GauntletCI work in air-gapped or offline environments?

Yes. GauntletCI runs entirely on the local machine. No diff, finding, file path, or telemetry is transmitted. The optional local LLM enrichment feature (--with-llm) uses a locally hosted Ollama model, with no network call. This makes GauntletCI suitable for classified, regulated, or air-gapped environments where cloud-based analysis tools are prohibited.

What is baseline delta mode and do other tools offer it?

Baseline delta mode (gauntletci baseline capture) snapshots all current findings and suppresses them from future runs. Only net-new findings (risks introduced after the baseline) are reported. This eliminates alert fatigue from pre-existing issues in legacy codebases. SonarQube offers a similar 'new code' concept but requires server setup. Semgrep, Snyk, CodeQL, and Code Climate do not offer equivalent pre-commit baseline suppression.

Compare

GauntletCI vs Semgrep

Semgrep matches patterns across your files. GauntletCI detects behavioral risk in the lines you actually changed. Different problems, different tools.

Tool	What it checks	What it misses
Semgrep	Security and code patterns via YAML rules, policy enforcement	Behavioral change risk, logic drift introduced by the change
GauntletCI	Change safety, Behavioral Change Risk in the diff	--

Semgrep

Pattern matching across files

You write YAML patterns or import community rules. Semgrep scans every matching file in your repository and reports anything that matches - whether it was introduced today or two years ago.

Powerful for enforcing custom coding standards and known vulnerability patterns. Requires ongoing rule maintenance. Produces findings on pre-existing code, so teams often see the same issues repeated run after run.

GauntletCI

Behavioral risk in the diff only

Rules are scoped to the lines you added or removed in the current change. A finding means the risk was introduced by this diff, not carried over from unchanged code. Zero false positives on pre-existing issues.

No YAML to write. 20+ built-in rules cover behavioral drift, security, async safety, data integrity, and architecture violations - all running in under one second with no account or network call required.

The gap Semgrep does not close

Semgrep excels at "does this code contain a known-bad pattern?" GauntletCI answers a different question: "did this change introduce a behavioral risk that was not there before?"

Removed logic without test coverage

A null guard, a guard clause, or a fallback branch gets deleted. The code still compiles, no new bad pattern was added, so Semgrep reports nothing. GauntletCI flags the removal.

Public API contract changes

A method parameter type changes or a public member is removed. No pattern matches a breaking change. GauntletCI checks for API surface mutations on every diff.

Scope drift vs ticket intent

A database migration lands in a UI-only ticket branch. No pattern matches 'unexpected change'. GauntletCI attaches Jira/Linear ticket context and flags the mismatch.

Behavioral drift that tests miss

Added code changes a side effect without breaking any assertion. No pattern to match, green CI. GauntletCI detects the structural change and flags the missing test coverage.

Feature comparison

Feature	GauntletCI	Semgrep
Analysis scope	Changed diff lines only	Full file or full repo scan
Rule authoring	20+ built-in, zero config	Custom YAML patterns required
Behavioral drift detection	Yes - removed logic, API contract changes	Limited - pattern matches only
Pre-commit speed	Under 1 second	Seconds to minutes (file-scoped)
False positives on unchanged code	None - diff-scoped by design	Yes - scans pre-existing issues too
Local execution	100% local, no account	CLI is local; rules registry is cloud
Air-gapped support	Yes - no network dependency	Partial - rule sync needs network
No-code setup	Yes - works out of the box	No - rules must be written or imported
LLM enrichment	Built-in ONNX, fully offline	No
Baseline delta mode	Yes - suppress pre-existing issues	No
CI gate + inline comments	Yes (Teams tier)	Yes (paid)
Free tier	All 20+ rules, no account	Limited free, account required
MCP server	Yes -- AI assistants call GauntletCI directly	No
Custom rules	Yes -- implement IRule in C#, no YAML	Yes -- YAML patterns (required for all rules)

When Semgrep is the right choice

-You need to enforce custom internal coding standards with bespoke patterns
-You want to scan for known OWASP / CVE patterns across all files
-Your team has bandwidth to write and maintain YAML rules
-You need multi-language support beyond .NET and C#

When GauntletCI is the right choice

-You want zero-config detection of behavioral and structural risk
-You need pre-commit speed - under one second on every commit
-You want findings only on what changed, not the entire codebase
-You need 100% local execution with no account or network dependency
-You work in a .NET / C# codebase and want diff-aware coverage from day one

They solve different problems - use both

Semgrep and GauntletCI complement each other. Run GauntletCI as a pre-commit hook for instant behavioral risk detection on every diff. Use Semgrep in CI for periodic codebase-wide pattern enforcement. Semgrep catches "this pattern exists somewhere"; GauntletCI catches "this change introduced a new risk."

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