Agentic reasoning loop
SpecLogician sits at the center of a closed-loop workflow:
propose → formalize → verify → refine
Who contributes what
In a modern agentic stack:
- CodeLogician / ImandraX translate source code into formal models + reasoning artifacts
- LLM-powered agentic CLIs propose scenario additions/edits/removals as structured deltas
- Software mapping tools (e.g. CodeMaps from cognition.ai) provide structure/navigation context
- logs/tests/docs provide grounding evidence
Each agent contributes partial, local insight:
- code structure
- behavioral intent
- execution traces
- test artifacts
SpecLogician:
- integrates these inputs into one evolving formal state
- validates changes symbolically
- delegates global analysis to a reasoning engine (e.g. ImandraX)
Why this closes the loop
The reasoning engine analyzes the entire accumulated model after every change. That means local suggestions become globally validated—continuously.
This transforms LLMs from probabilistic generators into reliable collaborators in a verification-driven workflow.