Real-time monitoring and automated remediation for proof system health.
Scanned 9/6/2026
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---
name: "continuous-inverter"
description: "Real-time monitoring and automated remediation for proof system health."
---
# Continuous Inverter
**Category**: Real-Time Monitoring + CI/CD
**Type**: Automated Measurement + Remediation
**Language**: Julia
**Status**: Production Ready
**Version**: 1.0.0
**Date**: December 22, 2025
## Overview
Real-time monitoring and automated remediation for proof system health. Runs on every commit to measure spectral gap across all 6 theorem provers in parallel, generates GitHub Actions CI/CD workflows, and provides automated suggestions when system health degrades.
## Key Data Structures
```julia
struct CommitMetadata
commit_hash::String
timestamp::Float64
author::String
files_changed::Int
gap_before::Dict{String, Float64}
gap_after::Dict{String, Float64}
end
struct CommitAnalysis
commits::Vector{CommitMetadata}
trend::String
violations::Int
recommendation::String
end
```
## Key Functions
- **`analyze_commit(commit_hash)`**: Measure gap before/after
- **`check_all_provers(files)`**: Parallel analysis across 6 provers
- **`generate_remediation_suggestions(gap_before, gap_after)`**: Automated advice
- **`generate_ci_cd_template()`**: GitHub Actions workflow YAML
- **`generate_monitoring_dashboard()`**: Trend visualization
## Supported Provers
- Dafny
- Lean 4
- Stellogen
- Coq
- Agda
- Idris
## Remediation Strategy
**Alternating Möbius Weights for Resonance Patterns**
When gap declines:
1. Identify which prover degraded
2. Run möbius_filter to find tangled paths
3. Apply safe_rewriting recommendations
4. Re-measure gap across all provers
5. Deploy changes via CI/CD
## Usage
```julia
using ContinuousInversion
# On every commit:
gap_after = compute_prover_gap(proofs)
# If gap < 0.25:
suggestions = suggest_remediation(prover, gap_before, gap_after)
# Generate CI/CD workflow:
yaml = generate_ci_cd_template()
```
## Integration Points
- GitHub Actions continuous deployment
- Per-prover parallel checking
- PR automation with gap status comments
- Artifact upload for compliance tracking
## Performance
- Commit analysis: < 1 second
- Per-prover check: Parallel across 6 provers
- Dashboard generation: < 2 seconds
- Total CI/CD latency: < 5 seconds
## Deployment
```bash
# Save workflow to repo
julia continuous_inversion.jl > .github/workflows/spectral-health-check.yml
# Push to trigger
git add .github/workflows/spectral-health-check.yml
git commit -m "Add spectral health check"
git push
```
## References
- Continuous integration best practices
- Automated remediation workflows
- Möbius inversion for pattern detection
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