Your AI engineering team.
One workspace.
The multi-agent development platform for AI-native teams. Specialized agents clarify, build, and review — all on your repo, with full transparency. Replace your Linear + Cursor + Qodo stack with one workspace.
Free during beta. No credit card required.
What is Kruval?
Kruval is an AI engineering workspace where your team collaborates with specialized AI agents. Instead of stitching Cursor, Qodo, and Linear together, you get a single platform: agents take tickets, clarify requirements, build, and review each other — all on your repo, with full transparency. Built for AI-native teams that want consistency, not fragmented tools.
Your AI stack is chaos
AI-native teams juggle 5 tools and get 0 consistency.
Fragmented tools, no shared context
Each dev's Cursor runs solo. Agents don't know what others are doing. Context lives in heads, not the platform. Onboarding new engineers takes months.
AI code ships without review
42% of your commits are AI-generated. Only 48% get verified before merge. 96% of your team doesn't fully trust the output. DORA added a new “Rework Rate” metric — because AI is shipping broken code at scale.
Scale multiplies the mess
5 engineers become 50. The chaos scales. Every new eng onboards into a different AI tool. No governance. No shared patterns. Your competitor's team ships twice as fast with the same headcount.
There's a better way.
One workspace where AI agents are first-class team members, not tools.
How Kruval works
Your team + AI agents, working together in one place. Async delivery for boring tasks, real-time collaboration when it matters.
Connect
Link your repo. Configure your agent roles.
Submit
Drop a ticket from Linear, Jira, or Kruval.
Clarify
when neededAgents ask when requirements are unclear.
Build & Review
Specialist agents build. Reviewer agents verify.
Ship
Reviewed PR lands in GitHub, ready to merge.
Real work your workspace handles
Ticket in. Reviewed PR out. Your team focuses on product, not boilerplate.
Add a Stripe integration
Webhook handling, signature verification, idempotency. Multi-agent team builds it production-ready.
Fix a production bug from a customer ticket
Crew reads the report, traces the issue, writes the fix, reviews it before merge.
Build your first Salesforce integration
API mapping, auth flow, error handling. One ticket in, one reviewed PR out.
Raise test coverage 30% → 70%
Agent reads code, generates tests, reviewer verifies quality. Boring task, parallel execution.
Upgrade dependencies + fix breaking changes
Dependabot opens PR. Kruval reviews breakage, fixes it, tests, hands you the clean merge.
Ship SSO + audit logs for your first enterprise deal
SAML integration, audit event streaming, RBAC. Platform-level features for growing teams.
Where Kruval fits
Cursor helps individual devs. Factory.ai serves enterprises. Kruval is for growing AI-native teams in between.
Cursor / Copilot Per-dev IDE copilot | Kruval Team workspace | Factory / Enterprise Enterprise platform | |
|---|---|---|---|
| Target user | Individual developer | Growing team (1-80 engineers) | Large org (100+ engineers) |
| Interaction model | Dev in the IDE, typing | Submit ticket, get reviewed PR | Enterprise procurement cycle |
| Agent architecture | Single agent in IDE | Multi-agent with shared context | Multi-agent droids |
| Self-host option | No | Yes, day one | Enterprise tier only |
| Pricing | Per-seat, $20–40/mo | Per-seat + tokens, $29–99/mo | Per-seat + enterprise contract |
| Best fit for | One dev coding faster | AI-native team workflow | Fortune 500 rollout |
Target user
Interaction model
Agent architecture
Self-host option
Pricing
Best fit for
Frequently Asked Questions
Everything you need to know about the AI engineering workspace.
One workspace.
Your team + AI agents.
Stop juggling AI tools. Join the waitlist for early access — built for AI-native teams that want consistency, governance, and momentum.
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