Augment Code puts your team’s collective knowledge—codebase, documentation, and dependencies—at your fingertips via chat, code completions, and suggested edits. 

Get up to speed, stay in the flow and get more done. Lightning fast and highly secure, Augment works in your favorite IDEs and Slack.

Augment Code

Every developer evaluating AI tools faces the same questions: How do I actually integrate this into my workflow? What are frontier models, reasoning models, specialized code models— and when does it matter? Which model should I use for code completion vs. code review?

Join Augment engineers for an informal conversation about model selection, implementation strategies, and getting AI to deliver productive results in your day-to-day workflows.

Whether you're exploring AI coding tools or already using Augment and want to optimize your setup, this is a fireside chat where you can ask the questions that you’ve been wondering about.

**In this session, we'll discuss:**

*   **Model selection for different use cases** — When does model choice actually matter vs. when is it just marketing? When should you use reasoning models vs. frontier models vs. faster models? We'll break down which models excel at code completion, refactoring, testing, or architectural reasoning — and when to use each.
*   **Getting started without disrupting your workflow** — How do you introduce AI into an existing development process without forcing your team to abandon their tools or relearn everything? We'll cover progressive adoption strategies, IDE integration patterns, and how to start small and scale up. **Plus:** How to introduce AI to different roles — junior devs vs. senior engineers, how EMs can leverage AI, tech leads, and more.
*   **Real-world implementation patterns** — What does AI integration look like in practice? We'll discuss CLI vs. IDE workflows, interactive vs. non-interactive development, when to use agent vs. inline completion, how to leverage context effectively, and common pitfalls teams encounter (and how to avoid them). **We'll also demonstrate:** How to use Augment as a team, and how to use Augment outside of interactive use cases.
*   **How to get the most out of Augment** — Prompting the agent effectively, using guidelines to encode your team's standards, and configuration strategies that make AI match your practices.
*   **Open Q\&A and live demo** — Bring your questions about model performance, integration challenges, or specific use cases. If there's interest, we will do a live walkthrough of implementing Augment in a real workflow.

Grab your favorite morning beverage and join Augment engineers who've spent a lot of time thinking about these problems. We'll cover the topics above, but the direction is driven by what you want to discuss.

Come with questions. Leave with answers.
