Better Context, Better Agents: Improve Quality and Reduce Cost
More context doesn't always mean better results from AI coding agents. Poorly structured or unnecessary context can increase token costs without improving output quality.
In this technical webinar, we'll explore how to measure and improve the context your agents use, so they can produce more reliable results with less wasted work.
What we'll cover:
How context influences agent behavior and output quality
How to evaluate whether a skill or instruction actually improves results
How to identify unnecessary context and token spend
How to optimize context across models and agent workflows
Live demo: Compare agent performance with different context configurations, using evaluations to assess quality, token consumption, and cost.
Who should attend: Software engineers, AI platform engineers, and teams using Claude Code, Cursor, Codex, or other coding agents.
Format: 35-minute technical presentation and live demo, followed by 10 minutes of Q&A.
Learn how to make your coding agents more effective by improving the context they work with.