HN Showcase
Back to browse
GitHub Repository

Natural language is often ambiguous. Writing code directly with LLMs can be brittle and hard to verify. This skill explores a middle ground: math-style specs (sets, relations, invariants) that agents can turn into architectures, APIs, and tests.

6 stars

Math-spec-driven LLM skill for complex system specs

by ben8t·Feb 16, 2026·1 point·0 comments
Visit ProjectView on HN

AI Analysis

●MidBig Brain

Math-spec approach for LLM-generated code, but lacks working examples and doesn't solve the reasoning-accuracy problem.

Strengths
  • •Tackles real pain: natural language ambiguity when directing LLM agents, using formal methods as a lingua franca.
  • •Clear methodology with concrete structure (Domain Model → Functions → Invariants → Edge Cases) transportable across problem domains.
Weaknesses
  • •No working proof-of-concept or benchmark showing this outperforms chain-of-thought prompting or constraint-based generation.
  • •Positioned as a 'skill'/methodology rather than tooling; unclear how this integrates into existing LLM workflows or outperforms existing formal verification approaches.
Target Audience

Backend/systems engineers using LLMs to generate code for complex, mission-critical specifications.

Similar To

Alloy (formal modeling language) · TLA+ (temporal logic specification)

Post Description

Natural language is often ambiguous. Writing code directly with LLMs can be brittle and hard to verify. This skill explores a middle ground: math-style specs (sets, relations, invariants) that agents can turn into architectures, APIs, and tests.

Similar Projects

Developer Tools●●Solid

Turn any OpenAPI spec into agent-callable skills

It extracts focused, executable operations from giant OpenAPI files (the GitHub REST YAML is shown) to shrink context and avoid sidecar adapter sprawl — a pragmatic answer to token bloat and brittle ad-hoc integrations. Useful and concrete: if it actually generates tidy, updateable skill units and runtime hooks it saves a lot of maintenance. That said, the idea competes with existing LangChain/openai-function patterns; the repo will need clear runtime, versioning, and update strategies to feel like more than a nicer converter.

Solve My ProblemNiche Gem
yz-yu
103mo ago