Solving for Context in Agentic Coding

Most engineering teams are using agents. But developers are still reviewing everything, second-guessing outputs, and quietly redoing work they don't trust. The human is still very much in the loop, and that loop is getting expensive. For teams past the agent experimentation phase, the pressure is mounting to show real productivity gains that justify the cost.

Context is the key point of leverage. Agents that fail to deliver are usually failing because they don’t have the right context. Codebases have history. Decisions have rationale. Teams have social context. Without an effective way to connect the dots, agents generate code that compiles but causes problems downstream.

Join us in San Francisco for an invite-only dinner with VPs of Engineering working through what it actually takes to make agents reliable at scale.

What we will chat about:

1. The role of organizational context in output quality

Agents that don't know your patterns, history, or conventions generate code that's plausible but wrong for your codebase. How are you thinking about giving agents the understanding they need to produce output your team can actually rely on?

2. Context solutions for AI agents

Rules, skills, MCP servers, purpose-built context layers. What have you tried, what's actually worked, and where does each approach hit its limits? How are you thinking about the right investment given where your team is on the adoption curve?

3. Reducing the loop without losing the guardrails

Better context changes the level of autonomy possible. How is your team deciding what work agents can own end-to-end, and what must be true about context, tooling, and quality before that happens?

This invite-only event is designed to create an intimate space for you to meet with a small peer group of high-caliber engineering executives to discuss challenges, exchange best practices, expand your professional network and more.

We hope to see you there!

Questions? Contact [email protected]