Built for real codebases, not clean-room demos.
Cosine is designed for professional engineering teams working in messy, long-lived systems. The agent reads before it writes. It maps the repository, follows local patterns, keeps changes reviewable, and helps engineers build confidence before modernization begins.
Understand the system first
Cosine explores the repository, maps dependencies, identifies key flows, and explains how unfamiliar systems fit together before making changes.
Recover missing knowledge
Generate module summaries, architecture notes, interface documentation, and operational context so critical knowledge is no longer trapped with a small number of specialists.
Change with confidence
Cosine can add tests, create scaffolding, verify behavior, and prepare reviewable changes before risky refactors or modernization work begins.
Where niche-language teams use Cosine.
Legacy documentation
Turn long-lived code into architecture notes, onboarding material, module summaries, and operational documentation.
Test scaffolding
Create tests around critical paths before refactoring, migration, or broader modernization work.
SME support
Help newer engineers understand systems previously maintained by a small number of specialists.
Framework migration
Support incremental movement away from old frameworks, libraries, services, or infrastructure patterns.
Language-specific post-training
Adapt model behavior to customer-specific languages, coding standards, internal frameworks, and proprietary toolchains.
Secure modernization
Run modernization work in the environment your security model requires, including cloud, VPC, on-premises, or fully air-gapped deployment.
Bring AI engineering to the languages your business actually runs on.
Common questions from teams with legacy and specialized systems.
Yes. Lumen is post-trained for broader enterprise and niche language coverage, and Niche-Bench specifically evaluates long-horizon coding tasks across 13 languages. For highly specific languages, internal frameworks, or proprietary tooling, Cosine can also support customer-specific post-training and training-data generation.
No. Cosine is designed for reviewable engineering work, not unmanaged rewrites. The safer path is incremental: understand the system, document it, add tests, make targeted changes, verify results, and keep humans in review.
Cosine supports secure deployment options, including VPC, on-premises, and fully air-gapped environments when required. For sensitive systems, deployment architecture should be scoped through a security review.
Yes. One of the strongest use cases is recovering context from the code itself: module summaries, architecture notes, interface descriptions, data-flow explanations, and test scaffolding.
Yes, when scoped as a customer-approved post-training engagement. Cosine can support post-training around internal code, synthetic analogues, proprietary frameworks, specialized languages, and coding standards.