Build fast,
ship confidently
Octokraft gives AI powered dev teams the power to go fast while maintaining control over quality, reliability and maintainability of their application.
[The Challenge]
When code is generated fast
everything else needs to keep up
As changes accumulate across services and repositories, teams struggle to:
With Octokraft, higher velocity leads to better outcomes
Move fast, stay in control
See how changes affect the system before they compound into risk.
Quality at scale
Track complexity, duplication, and debt as they evolve—not just per change.
Preserve architecture
Detect drift, coupling, and boundary violations as they emerge.
Trust AI output
Make AI-generated code reviewable, explainable, and auditable.
Catch issues early
Spot long-term problems while they're still cheap to fix—before they become expensive cleanup efforts.
[Documentation]
Documentation that keeps up with you
Documentation is generated from your codebase and evolves with your system.
- Ensure conventions are consistently applied across the system through clear documentation and integration into the review process.
- Keep your team in sync by automatically documenting architectural decisions, agent instructions, and new constraints as they emerge.
- Foster trust through transparency and change history by making it clear which code changes alter the understanding of your system.
Keep your team in sync with documentation that reflects the system as it actually exists.
[Pull Requests]
Pull Requests you can trust
Surface changes that can put the system at risk. Identify breaking contracts, performance-sensitive paths, compliance violations, and data migrations before they reach production.
- Make changes easy to evaluate by classifying them by intent and impact zone.
- Assess the real impact: how it affects code health, other features, and whether it aligns with documentation.
- Avoid merge conflicts by detecting stacked and conflicting pull requests early.
Answer the question \"Can I merge this?\" with confidence instead of guesswork.
[Code Health]
Keep technical debt under control
Prevent technical debt from silently accumulating as changes scale.
- Protect long-term maintainability by identifying dead code, duplication, and inconsistent patterns before they spread.
- Reduce operational and production risk by surfacing security issues, compliance violations, and runtime risks as they are introduced.
- Preserve development velocity by tracking test coverage gaps and broken execution paths that quietly increase the cost of change.
Turn these findings into actionable tasks, so debt and vulnerabilities are addressed incrementally instead of becoming large, disruptive cleanup efforts.
[Architecture]
Architecture consistency
Prevent unintentional architecture drift as the system evolves.
- Protect system structure by identifying changes that weaken module boundaries, introduce unnecessary dependencies, or increase coupling over time.
- Maintain scalability by detecting architectural patterns that don't hold as the system grows, before they turn into performance or reliability problems.
- Surface emerging risks early by continuously evaluating strengths, weaknesses, and tradeoffs as changes accumulate across the system.
Address issues incrementally with concrete recommendations, instead of discovering architectural problems only when they become expensive to unwind.
[Issue Tracking]
Issue tracking
Enable spec-driven development with full system context.
- Define requirements with full system context, so feasibility, constraints, and integration points are understood before work starts.
- Reduce rework by identifying affected areas and dependencies early, instead of discovering conflicts during implementation.
- Keep product and engineering aligned by tying specs, discussions, and code changes together as the system evolves.
Ensure product intent, implementation, and system behavior stay aligned.
Built for the way teams actually work
Real systems are distributed. Modern teams use AI. Octokraft adapts to both.
Built for real systems
Multi-repository by design
Modern applications span multiple services, shared libraries, and independently evolving components.
Understanding how a change in one place affects behavior elsewhere becomes harder as systems grow.
Octokraft analyzes changes in the context of the entire system, revealing impact across repositories.
Fewer blind spots. Fewer surprises.
Designed for AI-powered teams
Speed with control
AI accelerates development but increases coordination pressure as changes become larger and more frequent.
Quality, reliability, and maintainability are at risk when multiple people and agents work in parallel.
Built for teams with high standards where speed is expected but quality is non-negotiable.
Move fast together. Keep quality and trust intact.
Enterprise deployment options
Private deployment
Run Octokraft in your own environment so code, metadata, and analysis stay within your infrastructure.
Bring your own AI
Connect Octokraft to your own AI providers and models to maintain full control over data flow, privacy, and retention.
Built for regulated environments
Use Octokraft without relaxing internal security, compliance, or governance requirements.
Simple pricing
Start free. Scale when ready.
For small teams getting started
- Up to 5 developers
- Single repository
- PR analysis
For teams scaling AI development
- Unlimited developers
- Multi-repository support
- Code Health + Architecture
- Priority support
For advanced security needs
- Bring your own AI
- Private deployment
- SSO & SLA
Manage AI-driven change without losing control
Octokraft gives teams system-level visibility into fast-moving codebases.
Designed for organizations where quality and maintainability cannot be traded for velocity.