Repository Intelligence
AI-powered analysis of your entire codebase
AI Engineering Intelligence Platform
CogniQA transforms repositories into an intelligent engineering workspace where AI understands architecture, documentation, delivery, and the work between them.
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CogniQA Core
Repository intelligence in motion
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Everything Your Engineering Team Needs
CogniQA turns repositories, architecture, documentation, and delivery signals into one elegant workspace.
AI-powered analysis of your entire codebase
A focused workspace for asking engineering questions with live repository context.
See services, files, and decisions as a connected system of knowledge.
Understand boundaries, dependencies, and design patterns before they become debt.
Track activity, usage, and productivity with minimal, readable metrics.
Turn repository evidence into clear explanations your team can trust.
Spot risk, surface the right context, and keep engineering decisions auditable.
Prioritize what matters and create a more legible backlog for the team.
Sync-complete and critical-finding notifications delivered where your team already talks, plus a /cogniqa slash command for instant status.
Two-way issue sync and one-click issue creation from any technical debt or security finding.
Attach reference Drive files to a repository and export AI-generated documentation straight to Google Docs.
Autonomous Engineering Intelligence
Purpose-built AI agents trained on code comprehension, system topology, security analysis, and software delivery workflows.
System Boundaries & Design Drift
Maps component hierarchies, boundary violations, and module dependencies across your repository.
Automated PR Diffs & Quality
Analyzes incoming pull requests for edge cases, performance regressions, and architectural adherence.
Vulnerabilities & Secret Detection
Scans source files and dependencies for CVEs, exposed credentials, and OWASP top-10 risks.
Refactoring & Anti-Patterns
Identifies code smell clusters, duplicate logic, and unmaintained legacy modules before costs compound.
System Specs & API Docs
Generates up-to-date Markdown documentation, system specs, and API references directly from source code.
Hybrid Semantic & Lexical Search
Combines pgvector HNSW similarity search with Postgres FTS to deliver grounded context for any prompt.
Manifest & Dependency Health
Parses package.json, go.mod, Cargo.toml, and requirements.txt to audit licensing and outdated packages.
Organization History & Decisions
Semantic long-term memory across historical pull requests, design documents, and architectural decisions.
Platform Capabilities
Everything your team needs to understand, audit, document, and scale complex software systems.
Language-aware AST parsing with symbol extraction, complexity analysis, and semantic chunking.
A connected graph mapping files, symbols, dependencies, services, and PR history.
Detect layer violations, circular dependencies, and architectural drift before code merges.
Generates up-to-date system documentation, API specs, and architectural decision records.
A dedicated studio to query your codebase with grounded RAG context and stream answers.
Merges Postgres Full Text Search (lexical) with pgvector HNSW semantic embeddings.
Parses package manifests to audit outdated dependencies, security CVEs, and licenses.
Persists organizational decisions, past PR reviews, and coding style preferences.
Automates background scanning via Inngest with real-time Slack alerts and Jira sync.
How CogniQA Works
From repository connection to continuous intelligence delivery in 6 seamless steps.
GitHub OAuth & App Integration
Connect your public or private repositories in seconds via official GitHub OAuth. Your code tokens are stored with AES-256 encryption.
AST Parsing & Vector Indexing
Inngest background workers clone, parse AST syntax trees, and generate pgvector embeddings with step-by-step progress tracking.
Grounded Code RAG
Ask deep architecture, security, or implementation questions. AI streams grounded responses backed by exact file path citations.
PR Reviews & Refactoring
Deploy AI specialists to review pull request diffs, spot security vulnerabilities, and generate technical debt reports.
Markdown, PDF & Docs Export
Turn codebase analysis into versioned Markdown documentation. Sync directly to Google Docs or export as server-rendered PDFs.
Accelerated Delivery
Reduce developer onboarding from weeks to hours, slash PR review turnaround, and ship high-quality software with confidence.
Ecosystem Connectivity
Connect CogniQA seamlessly with your existing developer stack, issue trackers, CI/CD, and communication tools.
OAuth & GitHub App sync for repos, commits, PR diffs, and issue tracking.
Merge request reviews, repository indexing, and pipeline diagnostics.
Workspace repository connection and pull request automated checks.
Two-way sync and 1-click ticket creation from security & debt reports.
Real-time alerts, daily summaries, and /cogniqa slash command.
Drive document linking and direct documentation export to Google Docs.
Auto-link engineering findings and technical debt items directly to Linear issues.
Inline AI Studio assistant and codebase search extension inside VS Code.
Parse Dockerfiles and compose manifests for container deployment readiness.
Analyze K8s Helm charts and YAML manifests for configuration drift.
Terraform and CloudFormation infrastructure analysis for cloud architecture.
ARM template parsing and Azure DevOps pipeline compliance checks.
System Architecture
CogniQA delivers reliable, grounded engineering intelligence with strict data isolation, deterministic static analysis, and verifiable citations.
Your source code, AST graphs, and embeddings are isolated per workspace. We never use your code to train foundational models.
Combines structural AST analysis with high-dimensional vector embeddings to deliver exact file paths, cyclomatic metrics, and line-level citations.
Specialized background agents continuously inspect your codebase to uncover technical debt, generate documentation, and automate pull requests.
Frequently Asked Questions
Answers to common questions about repository indexing, AI security, vector search, and integrations.
CogniQA connects via official GitHub OAuth / GitHub App permissions. TypeScript and JavaScript files are processed with full AST parsing. All files are chunked using semantic splitting, converted to vector embeddings, and stored in a private pgvector instance with strict Row Level Security (RLS) policies scoped by organization ID.
Simple, Transparent Pricing
Start with our free Developer tier. Upgrade as your codebase and team expand.
Perfect for individual developers exploring repository intelligence on public projects.
For software engineering teams needing private repository intelligence & full agent workflows.
For large engineering organizations with custom security, SLA, and dedicated infrastructure needs.
Connect your GitHub repository in under 2 minutes. Map software architecture, generate live documentation, and chat with AI specialists today.