V3 Deep Integration

Code deduplication during architecture consolidation targets unifying overlapping components to sub-5,000 lines, achieved by migrating parallel implementations into a dedicated extension and removing redundant code paths.

Plan a phased migration by designing an adapter layer, integrating SONA learning modes, implementing Flash Attention, and setting up AgentDB coordination with backward compatibility and validation steps at each phase.

Yes, backward compatibility is maintained by executing a gradual, phase-by-phase transition that includes explicit validation steps, ensuring existing systems continue operating while the architecture consolidates.

Yes, agentic-flow integration explicitly supports incorporating 5 SONA learning modes and implementing Flash Attention to achieve 2.49x-7.47x speedup alongside 150x-12,500x search via AgentDB coordination.

Limitations include the requirement for explicit cleanup targets to reduce code to sub-5,000 lines and the complexity of aligning adapter layers across cross-agent coordination without disrupting backward compatibility.