Codex
Connect Codex to the full platform graph so it can reason about cross-system dependencies, not just the code in front of it.
AI Agents & Developer ToolsWhy Codex matters
Codex excels at single-repo code tasks, but data platform work spans across systems. A single logical change might require updating a transformation model, modifying a semantic layer definition, adjusting a pipeline, and verifying downstream consumers still work. Codex has no awareness of this cross-system context. Adding individual MCP tools per component helps at the edges but does not give the agent a unified platform graph to plan against.
Typedef acts as the planning and validation layer: it computes what needs to change across every system, and after Codex executes, it verifies consistency across the full platform.
What Typedef unlocks
Platform-aware reasoning
Give Codex a unified understanding of the entire data platform so it can reason about changes in the context of every system and consumer, not just the codebase.
Planning and validation
Typedef computes what needs to change across systems for a given task and validates that the result is consistent after Codex executes.
Blast radius as guardrails
Before Codex commits any change, surface the full cross-system blast radius so the agent and the engineer supervising it can make informed decisions.
Reliable multi-system changes
Let Codex take on migrations, refactoring, and pipeline restructuring with Typedef providing the dependency graph and validation layer.
Related integrations
Ground Claude Code in the full platform graph so its reasoning about data changes accounts for every system and consumer downstream.
Surface cross-system dependencies directly in the editor so data platform changes are scoped before they leave the IDE.
Annotate every pull request with its full cross-system blast radius so reviewers evaluate changes in the context of the entire platform.
Go beyond the DAG: trace every model through the full platform, not just the project.