TranslatedAbout this case
A FREE MCP READS 212 LEGACY FILES AND WRITES THE SPEC BEFORE ANY AGENT TOUCHES THE CODE
most rewrites go wrong in the same place. you dump the whole old system into one model and it drowns
this setup splits the work:
OPUS 5.5 > writes the plan, then sits idle for the rest of the run
REA > reverse-engineers legacy/billing once and turns it into spec.md with 14 endpoints, 37 rules, 9 edge cases
SONNET 5.5 x12 > one module each, built from a ~1.5k token slice of the spec. none of them opens the old code
REA VERIFY > replays the new system against the legacy one, 148 of 148 behaviours match
on screen the swarm finishes in 7m 05s for $0.88. opus $0.22, REA $0.32, twelve sonnets $0.34. Opus 5.5 alone sits at 23% and $1.20, still running
the video marks that comparison as illustrative, so take the numbers as a demo
REA doesn't come from Anthropic. it's morluto/rea on github, MIT licensed and free, you only pay for the model. one line installs it: npx rea-agents setup
before you point it at client code:
REA analyzes locally, but your agent still sends tool results to the model provider
decompiled code from a private app ends up with Anthropic or OpenAI, under their data policy
it's free today. save it before someone sells it as a $500 course
Original text / README
A FREE MCP READS 212 LEGACY FILES AND WRITES THE SPEC BEFORE ANY AGENT TOUCHES THE CODE
most rewrites go wrong in the same place. you dump the whole old system into one model and it drowns
this setup splits the work:
OPUS 5.5 > writes the plan, then sits idle for the rest of the run
REA > reverse-engineers legacy/billing once and turns it into spec.md with 14 endpoints, 37 rules, 9 edge cases
SONNET 5.5 x12 > one module each, built from a ~1.5k token slice of the spec. none of them opens the old code
REA VERIFY > replays the new system against the legacy one, 148 of 148 behaviours match
on screen the swarm finishes in 7m 05s for $0.88. opus $0.22, REA $0.32, twelve sonnets $0.34. Opus 5.5 alone sits at 23% and $1.20, still running
the video marks that comparison as illustrative, so take the numbers as a demo
REA doesn't come from Anthropic. it's morluto/rea on github, MIT licensed and free, you only pay for the model. one line installs it: npx rea-agents setup
before you point it at client code:
REA analyzes locally, but your agent still sends tool results to the model provider
decompiled code from a private app ends up with Anthropic or OpenAI, under their data policy
it's free today. save it before someone sells it as a $500 course
