Static code analysis agent for safer pull requests
Review changed code for likely defects, insecure patterns, maintainability risks, and policy violations before it is merged.
Add focused code analysis to the review workflow your developers already use.
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Capabilities
Static code analysis focused on the change under review
Coordinate code quality, maintainability, security, and engineering-policy checks without turning every pull request into an unprioritized repository scan.
Change-aware defect and risk analysis
Focus analysis on changed files and affected components. Surface likely bugs, complexity growth, duplicated logic, insecure patterns, and maintainability risks with repository context.
Custom engineering and security rules
Combine configured analyzers with team-specific coding standards, architecture constraints, prohibited patterns, severity thresholds, and repository-level exceptions.
Repository context and affected-code priority
Use dependency context, ownership, changed components, and risk labels to prioritize findings that are relevant to the pull request.
How it works
How the static code analysis agent works
Connect a repository, run the right checks for each change, and keep developers in control of remediation.
1. Connect repositories and define policy
Select repositories, branches, supported analyzers, severity thresholds, custom rules, and files or generated code that should be excluded.
2. Analyze each relevant change
Trigger analysis from pull requests, pushes, webhooks, CI/CD, API calls, manual requests, or a scheduled repository scan.
3. Review findings in context
Inspect inline evidence, accept or dismiss findings with a reason, assign remediation, and apply configured merge-gate policies.
Evidence
Code findings that fit developer workflows
Put each finding near the affected code and preserve the analyzer, rule, reasoning, and disposition behind it.
Pull request annotations
Place findings near affected lines with severity, rule context, reasoning, and suggested remediation so developers can review them with the change.
Portable SARIF results
Export supported findings as SARIF for compatible code-hosting, security, and reporting workflows while retaining links to the originating run.
Finding decisions and history
Record when a finding was opened, accepted, dismissed, or remediated, including the responsible reviewer and the reason for an exception.
Platform
One controlled platform for every specialist agent
Deploy, trigger, govern, and connect the static code analysis agent with the same controls available across the TestCollab agent directory.
Self-hosted with an open-source model
Use the managed service or deploy inside your VPC or on-premises with an approved open-source model, keeping sensitive inputs and results within your chosen environment.
Webhook or scheduler triggers
Launch checks from deployment and pull request webhooks, CI/CD, API calls, manual requests, or a recurring schedule.
Safe access to private environments
Reach staging sites, internal applications, and protected APIs with scoped credentials, network allowlists, and read-only defaults where applicable.
Custom rules and thresholds
Start with built-in checks, then add team-specific rules, severity levels, exclusions, thresholds, and release policies.
Change-aware execution
Use code diffs, changed services, requirements, and risk labels to prioritize the checks most relevant to a release.
Evidence with every finding
Capture pass, fail, and skip results with applicable screenshots, video, logs, traces, differences, and source locations.
Human-controlled release gates
Choose whether a finding informs the team, opens a defect, waits for approval, or blocks a release.
Connected delivery workflow
Send results and evidence to TestCollab, Jira, GitHub, GitLab, Slack, and CI/CD workflows without creating a separate review queue.
Audit-ready history and portable results
Retain configurations, model versions, runs, overrides, and approvals, with portable JSON, JUnit, SARIF, or PDF output where applicable.
FAQ
Answers teams look for
What does a static code analysis agent check?
It reviews source code without executing the application. Depending on the configured analyzers, it can identify likely defects, code smells, complexity, insecure patterns, policy violations, and maintainability risks.
How is this different from a linter?
A linter usually checks syntax, style, and predefined rules. The agent can coordinate multiple analyzers, apply repository and change context, enforce custom policies, prioritize risk, and collect evidence in one workflow.
Does the agent automatically modify our code?
Not by default. It provides findings and suggested remediation for developer review. Any automated change or pull request creation should require an explicitly configured approval policy.
Does a clean static analysis result guarantee secure or correct code?
No. Static analysis can miss runtime behavior, design flaws, environment-specific issues, and risks outside configured rules. It complements code review, testing, dynamic security checks, and human judgment.
Make every pull request easier to review
See how a static code analysis agent can focus findings, preserve evidence, and keep developers in control of the merge decision.
