Don't Blame the Agent. Blame the Context.

The challenge

Coding agents are only as useful as the context they have. Without it, they scan files, reconstruct your architecture from scratch, and burn more tokens on every query and every session.

‍One frontier model tasked with a Java upgrade burned through 61 million tokens trying to figure out what a well-written recipe already knew.

At scale, that repeated context reconstruction gets expensive fast.

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What you'll learn

• Live demo: agents reasoning from pre-generated semantic context versus raw files
• Why inferred context gets more expensive and less reliable as your codebase grows
• What semantic code context captures, and how it is generated deterministically from compiler-accurate code models
• How to store and version context so every agent, every session, starts from a known-good state
• How platform engineers can keep context current across hundreds of repos as code evolves