Four building blocks. Learn them once, use them in any language.
Practical advantages you get from day one
The same structure that helps humans reason about code helps AI assistants generate, refactor, and extend it.
AI models thrive on consistent structure. Every Link follows the same contract, so generation is reliable.
AI builds step by step, just like a developer:
AI reads Chain composition the same way humans do: clear intent, clear order, clear error handling.
Consistent patterns for reliable AI output
Type contracts for safe AI collaboration
Clear structure for AI-assisted refactoring
Install and write your first chain in minutes
# Universal pattern — same in every language
state = new State({ user_id: 101 })
chain = new Chain()
.add(Link('fetch', ctx -> fetch_user(ctx)))
.add(Link('auth', ctx -> check_role(ctx, 'admin')))
.add(Link('process', ctx -> run_business_logic(ctx)))
result = chain.execute(state)
if result.error:
handle_failure(result.error)
else:
print(result.get('output'))
CodeUChain is available in multiple programming languages, each with full feature parity and native idioms.
Universal algorithmic representation for learning and planning.
Simple, readable syntax with powerful async capabilities.
Concurrent and efficient with excellent tooling.
Universal runtime with modern async/await patterns.
Object-oriented with LINQ and async support.
Memory-safe systems programming with zero-cost abstractions.
High-performance systems with modern C++ features.
Enterprise-grade with comprehensive ecosystem.
Legacy system modernization with modern patterns.