Every time a coding agent starts a session, it faces the same problem: it doesn't know the codebase.
So it scans files, reconstructs your architecture, and burns tokens, reinventing context it should have had from the start.
One top AI model hit 61 million tokens on a single Java upgrade :) | Join Moderne, Thursday, April 23, at 12:30 pm ET for a 45-minute live demo that shows what breaks down with inferred context, and what changes when agents don’t need it. | | | What you’ll learn: - Live comparison: agents with semantic context versus raw file scanning, same task, different cost
- Why token waste compounds as inferred context scales across repos
- How semantic context 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 teams keep context current as code evolves
| This is where agent tooling is going, so defintely don't miss the event live.
See you in there in a couple of weeks,
Eugen
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