The reasoning loop

SpecLogician operates as a closed-loop workflow:

propose → formalize → verify → refine

Local suggestions — from developers, LLM coding agents, tests, logs, and traces — are formalized into one evolving model, validated globally by a reasoning engine, and refined based on what that analysis reveals.

This section covers:

• Agentic reasoning loop — how multiple agents and evidence sources contribute to one evolving formal state, and why global validation after every change closes the loop
• Recommendations — how SpecLogician turns each analysis into prioritized, actionable next steps
• Model refinement — how the loop relates to Counterexample-Guided Abstraction Refinement (CEGAR), and how the refinement target differs