MEGA Code is an optimization layer that automatically measures what worked, what didn’t, and improves the skills themselves without human intervention. These improvements are done through an evaluation-driven development-based optimization loop, so that every session makes the next one smarter. This results in agents that execute with the right knowledge at the right time, using a fraction of tokens, and getting measurably better without any manual intervention.
Core technology consists of 3 products.
(1) MEGA Loop: A closed loop that connects with your existing observability platform (e.g. LangSmith, Langfuse, Arize) to automatically identify issues, find dependencies within clustered bug groups, automatically suggest fixes, and even does a regression check to check if the fixes actually work without anything else regressing.
(2) MEGA Optimus: Automatic agent workflow optimizer that automatically performs research, creates a PRD, forms hypotheses, and runs iterative hillclimbing runs to optimize your agents' workflows, consisting of code, tool calls, llm calls, orchestration, and more.
(3) MEGA Tron: A skill router that automatically routes the most helpful and relevant skills to your session, instead of relying on the inefficient skills handling from current CLIs. Tron even evaluates your skill files to find what helps you and what doesn't.
