Tackle technical debt without the manual grind. Learn to use AI to safely refactor legacy systems into modern assets.
Technical debt is like a credit card. It's fine for a quick feature, but the interest will bankrupt your productivity if left unchecked. AI isn't just a tool to write new code—it's your most powerful weapon to kill old debt.
Practical strategies we use to modernize million-line monoliths with AI.
Learn how to use LLMs to explain undocumented, 'magic' code that hasn't been touched in years without breaking tribal knowledge.
Systematically replace legacy functionality with modern implementations using AI to map inputs, outputs, and side effects.
Automatically generate unit and integration tests for legacy code before you refactor, ensuring zero regression during the process.
Move from big-bang refactors to continuous improvement. Use AI to identify code smells and apply design patterns in small chunks.
Migrate from old libraries or patterns (e.g., Options API to Composition API) using custom AI prompts that respect your style guide.
Turn sparse commit messages and messy code into high-quality technical documentation that your team will actually read.
"We had a 'no-touch' payment gateway that everyone was afraid of. Used the archaeology prompts from this course to finally document it and refactor it in a weekend."
"The knowledge extraction chapter is a game changer for handovers. I spent 10 minutes with AI and got a doc that used to take me a week."
Unlock the same frameworks senior engineers use to turn messy technical debt into clean, scalable architecture.
Join the Senior Dev AcceleratorIncludes 12 chapters, 6 labs, and lifetime access.
Absolutely. We don't teach 'blind copy-pasting.' We teach a systematic approach involving test-driven refactoring and impact analysis where AI serves as the heavy lifter, but senior judgment remains the supervisor.
The principles are language-agnostic. Whether you're modernizing a PHP monolith, refactoring a React codebase, or cleaning up Python scripts, the mental models for managing debt with AI remain the same.
Yes. One of our labs specifically covers using AI to generate impact reports and 'cost of debt' analysis to help you secure the time needed to fix things properly.