Olympic Systems

AI Repair

Untangle AI-generated code and make it maintainable.

AI tools can get a system moving quickly, but the result often needs structure, security, testing, documentation, and practical engineering judgement. AI Repair is for systems that partly work, but are too fragile, confusing, or risky to keep building on.

  • Codebase triage
  • Architecture cleanup
  • Bug fixing
  • Security and stability review
  • Testing strategy
  • Documentation and handover

Repair Skills

Skills for turning fragile code into a working system.

Hands-on software development and testing experience across back-end services, front-end applications, build systems, and infrastructure.

  • Java
  • Python
  • Bash
  • Batch scripts
  • SQL
  • C++ fundamentals
  • Angular
  • AngularJS
  • RESTful APIs
  • Front-end and back-end rewrites
  • Docker
  • Build process maintenance
  • Linux systems
  • Windows systems
  • VMware ESX and vCenter
  • Microsoft Hyper-V
  • Bug fixing
  • Code review
  • Technical documentation

Approach

Repair before adding more complexity.

  1. 01Audit the codebase, dependencies, data flows, and runtime setup
  2. 02Identify what is usable, risky, duplicated, or broken
  3. 03Stabilise the system with targeted fixes and tests
  4. 04Document the decisions so future changes are not guesswork

Have an AI-built system that needs rescuing?

Send the repo, current symptoms, and what the system is supposed to do.

Discuss AI repair