Your agents are ready. Your code estate is not.
Many organizations are investing in GitHub Copilot and AI agents, but legacy code estates lack the structure, context, and governance needed for AI systems to operate effectively at scale.
An agent is only as good as the codebase it reads.
Coding agents spend most of a session rediscovering what the codebase already knows. They read files, infer relationships, and rebuild context from scratch, every session, in every repository. Roughly 60% of an agent’s tokens go to discovery before it does anything useful.
On a legacy estate that discovery is worse, not better. The structure the agent needs to reason about is the structure the estate never had.
Ground the agent first.
Moderne gives agents the model the code lacks. Pre-computed context (Prethink) sits in the repository, ready to read instead of reconstruct. Symbol-aware search (Trigrep) returns exact matches rather than a pile of files. Deterministic recipes handle the repeatable changes before the model has to reason about them.
- 4x faster reasoning, 55% fewer tool calls, 30% fewer tokens
- Exposed to your agents over MCP, alongside the tools they already use
- See the full agent toolset
See what your agents do when the codebase answers them.