Modernizing complex legacy code with AI agents.
Modernizing complex legacy code with AI agents.
Mistral helped a European energy operator migrate 40,000 lines of Fortran 77 to C++, targeting a physics-heavy reservoir simulator without a test suite or centralised documentation. The team first built a numerical-alignment testing framework, used Skill.md to guide agents in exporting state snapshots and validating migrated modules, then launched over a hundred agents with Vibe CLI to analyse call trees and used Mistral OCR to organise scattered documents.
Selection record
AdmittedSum of both 120 ≥ twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：Mistral用AI代理迁移遗留代码，实质AI应用
- Why it was chosen
- Publishes the full workflow for migrating 40,000 lines of Fortran; building numerical-alignment tests before migration is applicable to other legacy-system modernisation projects.
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: Mistral AI · mistral.ai