Why Context Beats Prompting: A Deep Dive into Augment Code's Context Engine

Every AI coding tool says it “understands your codebase.” But in a 100,000-file monorepo with years of tech debt, internal frameworks, service contracts, and invariants nobody has written down, most tools still break down. They guess at APIs, miss dependency constraints, propose patterns your team abandoned years ago, or produce answers limited to whatever files you currently have open.

The difference isn't the LLM. It's the context.

Augment Code’s Context Engine is the proprietary technology that powers every feature across our platform.

Join us for a technical deep dive into how the Context Engine works, why it outperforms lexical search and naive RAG approaches, and how it enables capabilities other tools simply can't deliver.

In this session, you'll discover:

• The architecture that enables 200K context windows and real-time semantic understanding
• How Memories work to continuously improve as you code
• A live software demonstration across Agent, Chat, and Next Edit
• The technical decisions that deliver both speed and accuracy, straight from our product experts

Augment Code’s Context Engine is what separates tools that work on toy projects from tools that scale to enterprise codebases. It's the reason Augment can onboard engineers in weeks instead of months, and generate code that actually matches your team's patterns and conventions.

Whether you're evaluating AI coding tools, building internal developer tools, or simply curious about what makes context-aware AI actually work at scale, this session will give you the technical understanding to separate marketing claims from engineering reality.