RepoEngine unifies your repositories, docs, and decisions into a knowledge layer teams can actually build on—onboarding flows, internal agents, automated docs, and more.
Search is just the beginning.
RepoEngine isn't just search. It's the knowledge layer that powers what your team builds next.
Turn scattered knowledge into structured onboarding paths. New engineers ramp in weeks, not months.
Ask questions → then build onboarding from answers
Give your AI assistants access to real company context. Agents that know your codebase, your decisions, your way of working.
Ask questions → then build agents from knowledge
Extract knowledge from repos and discussions into living documentation. Always up to date, always referenced.
Ask questions → then generate docs from answers
Turn Slack threads and Notion discussions into structured knowledge. Never lose why a decision was made.
Ask questions → then create tickets/docs from context
Every output is reference-backed. Always traceable to source.
Ask about your codebase. Get referenced answers. Build what comes next.
GitHub
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acme-backend
Python · main · 2.4k files
Notion
Engineering Wiki
Slack
#dev-questions
How does the authentication middleware work?
The authentication middleware validates incoming requests via JWT tokens. It intercepts each request before it reaches the view layer.
The middleware chain first checks the Authorization header, decodes the token using the signing key, and attaches the user to the request object.
Token refresh is handled automatically — if the access token is expired but the refresh token is valid, a new access token is issued in the response headers.
JWT validation and user attachment logic
Token refresh and signing key management
Authentication architecture overview
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Add this answer and its sources for your team.
Authentication Middleware
3 sources · Just now
Natural language queries across all sources
Every answer links to sources
Turn answers into docs, flows, agents
Scattered knowledge doesn't just slow teams down—it compounds into real cost at every hire, every handoff, every decision.
Search tools find text. RepoEngine turns knowledge into outputs you can act on.
Every answer becomes a building block. Generate onboarding, docs, tickets, and agent workflows—all reference-backed and verifiable.
Generate the first 2 weeks of onboarding tasks + Jira/Linear tickets for any new hire. Based on what your team actually does.
Turn scattered knowledge into a structured internal handbook. Auto-generated, always referenced, stays current.
Capture decisions from Slack/Notion into structured, searchable knowledge. Never re-debate what was already decided.
Power internal agents that can answer AND act. Onboarding bots, engineering assistants, support agents—all grounded in your actual knowledge.
Every output links to sources. Verify anything. Trust nothing blindly. This is how knowledge stays reliable.
Create Jira/Linear tickets or Notion docs directly from knowledge context. Pre-filled with references and background.
Not theoretical. These are the workflows early teams are creating.
Instead of 6-8 weeks
A Series A startup with 12 engineers was losing 6+ weeks per hire to onboarding. Context was scattered across 47 repos, Notion, and Slack threads that 'someone knows about.'
They connected RepoEngine. Asked: 'How does authentication work?' and 'What are our deployment conventions?' Then generated a structured onboarding guide from the answers.
Auto-generated, referenced, living
A growing team knew they needed internal documentation but no one had time to write it. Every 'doc sprint' produced outdated pages that nobody trusted.
Using RepoEngine, they asked systematic questions: 'How do we handle errors?' 'What's the testing strategy?' 'How do deployments work?' Then exported answers into a handbook—with references to actual code.
Never re-debate what was decided
A 30-person eng org kept re-debating the same architectural decisions. 'Why did we choose Postgres over Mongo?' would spark the same 2-hour thread every 6 months.
RepoEngine indexed their Slack channels and Notion. Now when someone asks 'Why Postgres?', they get the original decision with full context—who was involved, what trade-offs were discussed, and when it was made.
AI that actually knows your codebase
A platform team wanted to build an internal AI assistant but generic LLMs knew nothing about their systems. Fine-tuning was too expensive and wouldn't stay current.
They used RepoEngine as the knowledge layer. Their agent queries RepoEngine for context, gets referenced answers, and responds with actual internal knowledge—not hallucinations.
Connect your sources, let RepoEngine index them, then build what your team needs.
Link your repositories, Notion, Slack, Confluence, Drive—wherever knowledge lives.
RepoEngine extracts concepts, relationships, and decisions—creating a unified knowledge layer.
Ask questions, get referenced answers, then create onboarding, docs, agents—whatever your team needs.
Most tools stop at search. RepoEngine is designed so that every answer can become the foundation for something new—onboarding flows, documentation, internal agents, or automated workflows. Search is just the beginning.
Your knowledge, your control. Every output is traceable. Every claim is verifiable.
Code passes through for processing but is never stored. Processed in memory, immediately discarded.
Every answer, every generated doc links to sources. Click through to verify. Trust nothing blindly.
One click removes your data. No hidden copies, no retention games. You're always in control.
Control who sees what. Permissions respect your existing org structure.
Select which repos, docs, and sources to include. Add more as trust grows.
Keep vectors on your infrastructure. Code passes through for processing but is never stored. Learn more
Wherever knowledge lives—repos, docs, tickets, discussions—RepoEngine brings it together.
Connect only what you choose. Add more as you grow.
Web, Slack, terminal—RepoEngine meets your team wherever they already are.
Ask questions, generate outputs, manage sources—all from one interface.
Ask questions and trigger builds directly in Slack. No context switching.
Query knowledge and generate outputs from your terminal. For devs in the flow.
Teams justify RepoEngine with a single hire or a few saved hours per week.
New engineers ramp in 2 weeks instead of 6–8. That's $10K+ saved per hire.
Less time answering repeated questions. More time on high-impact work.
Find the right doc, decision, or owner in seconds instead of hours.
Most teams see ROI within the first hire or the first month of saved senior time.
Code search tools don't know your docs. Wiki tools don't read your code. RepoEngine connects both—and lets you build from the answers.
| Capability |
|
|
|
|
|
|
|---|---|---|---|---|---|---|
| Codebase Q&A | ✓ | ✓ | ✓ | Partial | — | — |
| Docs & wiki search | ✓ | — | — | ✓ | ✓ | — |
| Slack & comms search | ✓ | — | — | ✓ | ✓ | — |
| Source citations | ✓ | Partial | ✓ | ✓ | ✓ | — |
| Onboarding generation | ✓ | — | — | — | — | ✓ |
| Decision memory | ✓ | — | — | — | — | — |
| Internal agent building | ✓ | — | — | Partial | Partial | — |
| Doc & handbook generation | ✓ | — | — | — | — | Partial |
AI codebase search and PR review. Code-only—no docs, wikis, or Slack.
Missing: docs search, onboarding generation, decision memory, agent building
Enterprise code search and AI assistant. Powerful but code-only.
Missing: docs search, Slack integration, onboarding generation, decision memory
Open-source enterprise search across docs and comms. Generic, not developer-focused.
Missing: deep code understanding, onboarding generation, decision memory
Enterprise-wide AI search. Broad but not developer-focused. Starts at $50K+/year.
Missing: deep code Q&A, onboarding generation, decision memory, developer-specific tooling
AI code documentation. Good for onboarding, but limited to code docs only.
Missing: codebase Q&A, docs/Slack search, decision memory, agent building
The only platform that combines code understanding, knowledge search, and artifact generation.
Org-wide pricing with AI usage included—so teams can adopt it without per-seat math or token anxiety.
Prove value on your real repos and real docs. All features included.
Fixed price • Keep the outputs • No obligation
Best for small teams and early products
Best for scaling teams and multi-squad orgs
Best for large orgs, security, and compliance needs
Each plan includes a monthly AI credit allowance that covers questions and suggestions. Most teams never hit the limit. If you do, you can upgrade or add more—no surprises.
From early beta teams exploring what's possible.
We used it to generate our entire onboarding guide. New engineers now ramp in half the time.
Tech Lead
Series A Startup
Finally, answers I can actually verify. The references make all the difference for code review discussions.
Senior Engineer
Enterprise SaaS
We're building an internal agent on top of it. The knowledge layer is exactly what we needed.
Engineering Manager
Platform Team
We're working with a small group of teams to shape what RepoEngine becomes. Early access, direct feedback loop, influence the roadmap.
Teams use RepoEngine to generate onboarding flows for new hires, create internal handbooks automatically, power internal AI agents with real company context, capture decision history from Slack/Notion, and create referenced documentation. The key is that every output is traceable—you can verify where any information came from.
No. We index structure and meaning from your repositories, but we don't store your source code. Your code stays where it is—on GitHub, GitLab, or wherever you host it. You can delete your index at any time.
Every answer links to the sources it's based on—specific files in repos, Notion pages, Slack threads, Jira tickets, or any other connected source. You can click through to verify anything. If something looks wrong, you can see exactly where it came from and why.
Currently: GitHub, GitLab, Notion, Google Drive, Dropbox, Confluence, Slack, Jira, and Linear. You choose which sources to connect—teams typically start with repositories and gradually add documentation and communication tools.
Yes! Our hybrid deployment lets you store vectors on your own infrastructure (your Qdrant instance). Your code passes through our API for processing but is never stored—processed in memory and immediately discarded. Enterprise plans include DPA and security documentation. See hybrid pricing
ChatGPT doesn't know your codebase, your decisions, or your company context. RepoEngine does. Every answer comes with references to actual internal sources. And critically—you can build from these answers: onboarding flows, documentation, agents. It's a knowledge layer, not just a chatbot.
Still have questions?
We're onboarding teams one at a time to ensure a great experience. Join the waitlist and we'll be in touch soon.
7-day trial • $129 • Full access