Reflections on a Year of Prolog and LLMs

4 months ago

DeepClause was initiated to address dissatisfaction with LLM-powered applications, which often failed unpredictably.
The project explores combining Prolog's logic programming with LLMs to create more robust and programmable AI systems.
DeepClause consists of a domain-specific language (DML) built on Prolog and a runtime engine with a meta-interpreter for execution tracking.
The system compiles structured prompts into DML code, enhancing reusability and reproducibility compared to traditional agent approaches.
Key advantages include security, verifiability, and auditability due to the meta-interpreter design.
DeepClause supports both implementing agent loops in DML and integrating with existing agent frameworks.
The project leverages coding agents like Claude 4.5 for rapid iteration, showcasing the potential of AI-assisted development.
Future directions include integrating DML with Claude Code, spec-driven development frameworks, and combining DCG grammars with LLMs.

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