Wiring feature flags into OpenAI Codex: From config.toml to controlled rollouts
Blog post from Unleash
Alex Casalboni's post outlines a step-by-step guide to integrating feature flags into OpenAI Codex using the Unleash MCP server, emphasizing the importance of separating code shipping from feature releasing. The process involves connecting the MCP server to Codex, creating and managing feature flags automatically, and enforcing these practices across a team through a shared AGENTS.md file. This approach ensures that changes are controlled and reviewed, with Codex using a sandbox and approval prompts to maintain governance while writing code. The setup can be scaled organization-wide, allowing a platform team to enforce configurations and approvals, ensuring that no unvetted changes reach production. This structure allows developers to efficiently manage feature rollouts while maintaining control over code deployment and execution, ultimately linking engineering performance to business outcomes.
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