Kojib builds and publishes foundational primitives for systems where correctness is non-negotiable. If you’re here, you’re not looking for vibes — you’re building things that must stay coherent, secure, and verifiable over time.
Most stacks optimize features. Kojib optimizes system law — the invariants that prevent drift. This page is the entry point: repositories, references, community surfaces, and the developer posture behind our work.
Kojib is for developers who ship production systems and refuse silent failure modes. We publish primitives that make systems self-verifying where it matters: identity, provenance, signatures, time, and deterministic behavior. The result is software that remains correct under pressure — not just software that “works on demo day.”
The public stack evolves, but the posture stays constant: foundation first. Expect composable modules, hard edges, and documentation that treats correctness as a feature.
We build with a simple rule: truth must survive contact with reality. That means invariants are explicit, interfaces are clean, and verification is not “later.” If you’re integrating Kojib primitives, you’re adopting the same posture — and your system will be stronger for it.
Kojib is not a “growth hack toolkit,” not a demo platform, and not a pile of wrappers. We don’t ship vibes. We ship foundations that hold.
Start with the canonical repos and docs. If you’re shipping something where correctness matters, join the community and build in public.
Get StartedHow do you define and enforce invariants across product, infra, and data boundaries? Patterns, tradeoffs, and real implementations.
Join the DiscussionWhere do teams go wrong when verification is “phase two”? Practical guidance for shipping proof-grade flows from day one.
Join the DiscussionHow do you eliminate drift and silent divergence in distributed systems? Deterministic design patterns, constraints, and testing.
Join the DiscussionConnect with developers who care about correctness. Share implementations, ask hard questions, and collaborate on systems that stay real.
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