Beta access open Build on your knowledge

Everything your company already knows— ready to be used.

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.

What teams build with RepoEngine

Onboarding flows for new hires

Internal knowledge agents

Auto-generated handbooks + docs

Decision memory from Slack/Notion

Beyond Q&A

A foundation, not a feature.

RepoEngine isn’t just search. It’s the knowledge layer that powers what your team builds next.

Generate Onboarding Flows

Turn scattered knowledge into structured onboarding paths. New engineers ramp in weeks, not months.

Ask questions → then build onboarding from answers

Power Internal Agents

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

Create Handbooks Automatically

Extract knowledge from repos and discussions into living documentation. Always up to date, always referenced.

Ask questions → then generate docs from answers

Capture Decision Memory

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.

See It In Action

From question to action in seconds.

Ask about your codebase. Get referenced answers. Build what comes next.

Ask anything

Natural language queries across all sources

See references

Every answer links to sources

Build from it

Turn answers into docs, flows, agents

Why Now

Knowledge chaos. Delivery cost.

Scattered knowledge doesn’t just slow teams down—it compounds into real cost at every hire, every handoff, every decision.

• Knowledge scattered across 50+ repos, Notion, Slack, Drive, tickets

• New hires can’t find answers without interrupting seniors

• Past decisions live in Slack threads that no one can find

• Every handoff requires days of context transfer

• 4–8 weeks to ramp a new engineer

• 5–10 hours/week of senior time answering questions

• Repeated decisions because no one knows what was decided

• Slower cross-team delivery and risky refactors

Search tools find text. RepoEngine turns knowledge into outputs you can act on.

Build Blocks

Every answer becomes a building block. Generate onboarding, docs, tickets, and agent workflows—all reference-backed and verifiable.

Onboarding Generator

Generate the first 2 weeks of onboarding tasks + Jira/Linear tickets for any new hire. Based on what your team actually does.

Exports to Jira, Linear, Notion

Handbook Generator

Turn scattered knowledge into a structured internal handbook. Auto-generated, always referenced, stays current.

Exports to Notion, Confluence

Decision Memory

Capture decisions from Slack/Notion into structured, searchable knowledge. Never re-debate what was already decided.

Links back to source discussions

Agent Layer

Power internal agents that can answer AND act. Onboarding bots, engineering assistants, support agents—all grounded in your actual knowledge.

API available for custom agents

Reference-Backed Citations

Every output links to sources. Verify anything. Trust nothing blindly. This is how knowledge stays reliable.

Click-through to original sources

Ticket & Doc Generator

Create Jira/Linear tickets or Notion docs directly from knowledge context. Pre-filled with references and background.

One-click export to tools

Real Outcomes

What teams actually build with this.

Not theoretical. These are the workflows early teams are creating.

New hire ramps in 2 weeks

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.

Next hire shipped production code in 12 days

Engineering handbook in a day

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.

23-page handbook, fully referenced

Decision memory from Slack

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.

~4 hours/week saved on repeated discussions

Internal engineering agent

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.

Support queries dropped 40% in first month

Simple Setup

Three steps. Then build.

Connect your sources, let RepoEngine index them, then build what your team needs.

1

Connect

Link your repositories, Notion, Slack, Confluence, Drive—wherever knowledge lives.

GitHub GitLab Notion Slack +more

2

Index

RepoEngine extracts concepts, relationships, and decisions—creating a unified knowledge layer.

Code Docs Decisions Ownership

3

Build

Ask questions, get referenced answers, then create onboarding, docs, agents—whatever your team needs.

Onboarding Docs Agents

The difference: You build from it

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.

Security & Transparency

Built for teams that verify before they trust.

Your knowledge, your control. Every output is traceable. Every claim is verifiable.

We don’t store your code

Your source code stays on GitHub/GitLab. We index structure and meaning—not the code itself.

Citations on every output

Every answer, every generated doc links to sources. Click through to verify. Trust nothing blindly.

Delete your index anytime

One click removes your data. No hidden copies, no retention games. You’re always in control.

Team-level access controls

Control who sees what. Permissions respect your existing org structure.

Connect what you choose

Select which repos, docs, and sources to include. Add more as trust grows.

On-prem / self-host soon

For teams that need full infrastructure control. Coming soon.

Integrations

Connect what you use. Build from all of it.

Wherever knowledge lives—repos, docs, tickets, discussions—RepoEngine brings it together.

GitHub

GitLab

Notion

Google Drive

Dropbox

Confluence

Slack

Jira

Linear

Connect only what you choose. Add more as you grow.

Access Anywhere

Build where you work.

Web, Slack, terminal—RepoEngine meets your team wherever they already are.

Available

Web Dashboard

Ask questions, generate outputs, manage sources—all from one interface.

Coming Soon

Slack Bot

Ask questions and trigger builds directly in Slack. No context switching.

Roadmap

Terminal CLI

Query knowledge and generate outputs from your terminal. For devs in the flow.

Business Impact

The math is simple. The savings are real.

Teams justify RepoEngine with a single hire or a few saved hours per week.

2–4

weeks faster onboarding

New engineers ramp in 2 weeks instead of 6–8. That’s $10K+ saved per hire.

5–10

hours/week returned to seniors

Less time answering repeated questions. More time on high-impact work.

80%

faster context gathering

Find the right doc, decision, or owner in seconds instead of hours.

• 4–6 weeks of ramp time per new engineer

• 5–10 hours/week of senior engineer interruptions

• Days of context-gathering before cross-team changes

• Repeated debates on decisions already made

• Auto-generated onboarding with tickets ready to go

• Internal agents that answer questions 24/7

• Living documentation that stays current

• Decision memory that prevents re-debates

Most teams see ROI within the first hire or the first month of saved senior time.

Comparison

Not a replacement. A multiplier.

RepoEngine works alongside your existing tools—and turns their content into action.

RepoEngine works alongside your existing stack—and makes it more useful.

Simple Pricing

Pricing that matches how value is created.

Org-wide pricing with AI usage included—so teams can adopt it without per-seat math or token anxiety.

References included No code stored On-prem coming soon

7-Day Trial

Recommended start

$129 one-time Full access

Prove value on your real repos and real docs. All features included.

Unlimited repositories

Connect all sources

Web dashboard access

Ask questions across repos and docs

Reference-backed answers

Suggested code with references

Fixed price • Keep the outputs • No obligation

Best for small teams and early products

From $299 / month

• Org-wide repo sync (multi-repo)
• Connect core sources (GitHub/GitLab + docs)
• Web dashboard access
• Monthly AI credit allowance included
• Cross-repo and cross-doc Q&A
• Reference-backed answers
• Saved answers for onboarding

Most Popular

Best for scaling teams and multi-squad orgs

From $999 / month

• Unlimited repositories
• Connect all sources: GitHub, GitLab, Notion, Drive, Dropbox, Confluence, Jira, Linear, Slack
• Org-wide knowledge layer
• Higher monthly AI credit allowance
• Reference-backed answers and suggestions
• Saved answers shared across teams
• Priority support
• Slack bot access (when available)

Best for large orgs, security, and compliance needs

Custom pricing

• Everything in Growth
• Custom AI model strategy (OpenAI / Claude / Gemini)
• Advanced permissions and access controls
• Audit-friendly usage visibility
• Dedicated onboarding and support
• On-premise deployment coming soon

How AI usage works

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.

We don’t store your repository code

Every answer includes references

Your knowledge stays yours

Start with a pilot. Scale when you’re confident.

Early Access Teams

Teams are already building with RepoEngine.

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.

TL

Tech Lead

Series A Startup

Finally, answers I can actually verify. The references make all the difference for code review discussions.

SE

Senior Engineer

Enterprise SaaS

We’re building an internal agent on top of it. The knowledge layer is exactly what we needed.

EM

Engineering Manager

Platform Team

Join the beta

We’re working with a small group of teams to shape what RepoEngine becomes. Early access, direct feedback loop, influence the roadmap.

Questions

Frequently asked questions.

Still have questions?