Shipping Better Code, Faster

Most engineering teams are paying a tax they never budgeted for: context retrieval.

Design docs live in Docs and Confluence. Architecture decisions are buried in Slack. Jira tickets capture tribal knowledge that never makes it back into documentation. Senior engineers become the system of record—and the support desk.

In this session, you’ll see how phData is using work AI to eliminate that “missing context tax,” reduce internal support work, and help engineers ship better code with more confidence.

Register to learn how to:

• Cut the internal support tax on senior engineers by routing repeat questions and “where is X?” requests through AI grounded in your own systems and context.
• Turn scattered tribal knowledge into living documentation that’s generated from real tickets, incidents, and repos—then kept up to date automatically as work happens.
• Put AI coding assistance in the flow of your SDLC so engineers can understand services, implement changes, and write tests with tools that already know your stack, patterns, and constraints.
• Improve velocity and reliability at the same time by connecting AI to your actual code, tickets, and runbooks instead of treating it as an isolated sidekick.