QnA3 is an AI-powered documentation and Q&A assistant designed to help engineering teams create self-serve technical knowledge from their codebase. It scans your repositories and instantly generates context-aware answers to developer questions, helping reduce time spent on onboarding, support, and internal code understanding.
Built specifically for developers, QnA3 integrates with GitHub and existing documentation to provide natural-language responses grounded in your actual source code. Whether a teammate is asking how a function works or where a particular configuration lives, QnA3 turns your codebase into a responsive, intelligent knowledge system.
With QnA3, teams eliminate repetitive “how does this work” messages and improve documentation quality—without writing it manually.
Features
AI-Powered Codebase Q&A
- Answers technical questions using natural language
- Trained on your repositories and docs for accurate responses
GitHub Integration
- Connects directly to private or public repos
- Indexes source code, READMEs, and technical wikis
Auto-Generated Documentation
- Converts functions, modules, and APIs into plain-language summaries
- Keeps docs up to date with every commit
Slack and Web Interface
- Ask questions directly from Slack or the QnA3 web UI
- Instant answers with links to source code references
Semantic Search
- Search codebase by meaning, not keywords
- Ideal for large, legacy, or multi-language repos
Custom Embedding and Access Control
- Control who can query which parts of your code
- Easily manage internal access policies and compliance
Multilingual Support
- Understands JavaScript, Python, Go, TypeScript, and more
- Works across monorepos and microservices
How It Works
- Connect Your GitHub Repository
Authorize QnA3 to access your organization’s code with read-only permissions. - Automatic Codebase Indexing
QnA3 scans your code, docs, and structure to build a semantic understanding of your systems. - Ask Questions in Natural Language
Use Slack or the QnA3 dashboard to ask technical questions like “Where is the auth middleware defined?” - Get Contextual, Accurate Answers
QnA3 replies with answers, relevant code snippets, and file paths, citing the most accurate sources. - Share or Save Knowledge
Answers can be bookmarked, shared, or added to permanent documentation.
Use Cases
For Engineering Teams
- Help onboard new developers faster with self-serve code insights
- Reduce repetitive internal support questions
For Tech Leads and Managers
- Maintain up-to-date documentation automatically
- Empower junior developers to unblock themselves
For DevOps and SREs
- Quickly find scripts, deployment logic, or service configs
- Improve cross-team collaboration with AI-powered clarity
For Enterprises
- Build an internal AI assistant trained on custom software
- Ensure consistent understanding across large engineering orgs
Pricing Plans
As listed on the QnA3 website, QnA3 is available in multiple plans depending on team size and feature needs:
Free Plan
- Single repo indexing
- Basic Q&A and semantic search
- Limited usage per month
- Slack and web interface access
Pro Plan – Starting at $10/user/month
- Unlimited repos
- Priority indexing and response quality
- Advanced access controls and analytics
- Ideal for growing dev teams
Enterprise Plan – Custom Pricing
- SSO and team management
- On-premise or private cloud deployment
- Dedicated success manager
- Compliance, audit logging, and SLA
All plans include read-only permissions and secure data handling.
Strengths
- Reduces onboarding time and internal support requests
- Natural language queries return code-accurate responses
- Seamless GitHub and Slack integration
- AI-generated documentation without manual effort
- Supports multiple languages and frameworks
- Secure and compliant for enterprise use
Drawbacks
- Requires read-only access to private repositories
- May need tuning for highly abstracted or deeply nested code
- Response accuracy can vary with poorly documented code
- Free plan is limited to basic use cases
Comparison with Other Tools
QnA3 vs GitHub Copilot
Copilot helps you write code, while QnA3 helps you understand existing code. QnA3 provides natural-language answers grounded in your repo, making it more valuable for learning and navigating large codebases.
QnA3 vs Sourcegraph Cody
Cody offers AI assistance and search for large codebases. QnA3 focuses on Q&A-driven onboarding and internal knowledge, with better Slack integration and documentation output.
QnA3 vs Swimm
Swimm generates tutorials and walkthroughs tied to code. QnA3 is more reactive and Q&A-based, ideal for just-in-time learning and support without manual doc creation.
Customer Reviews and Testimonials
Users report significant productivity gains with QnA3:
“Our new hires are asking QnA3 instead of pinging senior engineers.”
“Documentation used to be a burden. Now QnA3 generates it for us.”
“It feels like Stack Overflow—but for our own codebase.”
These reviews highlight real-time value in team velocity and developer autonomy.
Conclusion
QnA3 is a powerful tool for engineering teams looking to improve documentation, streamline onboarding, and reduce developer support overhead. With intelligent Q&A, seamless GitHub and Slack integration, and AI-generated documentation, QnA3 turns your codebase into a living, searchable knowledge assistant.
Whether you’re scaling a startup or managing a large dev team, QnA3 ensures your developers spend less time asking questions—and more time shipping code.
Try QnA3 for free or schedule a demo at https://qna3.ai
