Product
What is EasySpecs?
AI-assisted discovery for legacy systems—so migration choices rest on what the code actually does, not folklore.
EasySpecs documents observed behavior from your legacy codebase so architects and transformation leads get a shared technical map in the browser—scope, edge cases, and complexity surfaced early so your team can choose a migration path from knowledge, not hope.
Use cases
Sound familiar?
Pick the role that matches you—the product meets you at the same discovery step, then supports the decision you need to make.
CTO / transformation lead
Choose rewrite, refactor, or replace
You’re here if the board is asking which path to take and you cannot defend the answer yet.
Compare migration strategies once behavior is documented—not while your best engineers are still doing code archaeology.
Program / delivery lead
Scope the migration honestly
You’re here if roadmaps and RFPs need real modules, integrations, and edge cases—not optimistic guesses.
Surface complexity from the repository so timelines and vendor questions reflect what is actually in the code.
SI or platform partner
Onboard squads without months of interviews
You’re here if integrators or internal teams must ramp on a system they did not build.
Share a technical map in the browser so everyone works from the same documented behavior.
Sponsor / finance
De-risk modernization estimates
You’re here if budget holders need effort bands they can trust before approving the program.
Ground estimates in documented behavior and complexity instead of spreadsheets built on hope.
How it works
From legacy codebase to migration clarity
Four steps that turn code archaeology into documentation your team can decide from.
Connect the legacy codebase
Where the system lives
Add the EasySpecs extension to VS Code, Cursor, or similar editors—point it at the legacy repository and run analysis on the real system. When you’re ready, send that context to your EasySpecs workspace so discovery outputs appear in the web app.
AI agents document actual behavior
From source, not slides
AI agents read your legacy codebase and produce technical documentation—observed behavior, not slides or stale wiki pages.
Review and refine with your team
Architects, leads, engineers
Your architects and leads validate findings in the browser workspace—fill gaps, reconcile edge cases, and align on documented scope before anyone commits to a migration path.
Decide and plan the migration
Evidence for the fork
Use the technical map for cutover planning, incremental refactor, or build-vs-buy decisions—grounded in what the code actually does today.




