Recursive development systems
TerraFlux
A coding harness that carried decisions, insights, and outcomes forward across recursive agent workflows.
- Audience
- Developers operating multi-agent coding workflows
- Role
- Architect, methodology designer, and builder
The problem
Coding agents repeatedly rediscovered decisions the system had already made.
Without durable decision trees, later agents lost the reasoning, user choices, and implementation outcomes that shaped the codebase. That weakened continuity and made recursive work expensive to resume.
The solution
The harness treated decisions and outcomes as reusable system context.
TerraFlux combined recursive agent workflows with retained insights, decision provenance, and outcome history. RPIV supplied the operating rhythm while the memory model gave later work a traceable starting point.
Outcomes
The result was a change in operating capacity.
These outcomes describe what this implementation made possible. They are not generic product promises.
Carried user decisions and implementation context across coding sessions.
Reduced repeated research by making prior insights and outcomes available to later agents.
Created a foundation for continuity patterns later used in go-to-market intelligence work.
How it worked
The architecture followed the work.
The system was organized around an operating sequence people could understand, govern, and improve.
Decide
Record choices with the evidence and context that shaped them.
Execute
Apply decisions through the RPIV development cycle.
Retain
Store insights and outcomes as durable project knowledge.
Continue
Give future agents a traceable basis for the next decision.
My contribution
I connected recursive execution to durable decision continuity.
TerraFlux extended my coding-harness research beyond task completion. The more important question was how a system could remember why work changed and use that history responsibly later.
Return to all work