Codex Head Tibo Asks Users for Priorities: Features, Reliability, or Performance
Tibo, head of OpenAI Codex, asked on X: "For long-term users of the Codex App, would you prefer us to prioritize feature development, reliability improvements, or performance optimization?"
This question is directed at the core users who "live in the Codex App," aiming to gather genuine feedback to guide the next phase of iteration.
This move reflects OpenAI's decision to allocate resources between feature richness, stability, and speed based on community input, a typical product-oriented decision.
Source: Public Information
ABAB AI Insight
Tibo has previously shared the high-frequency iteration cycle of Codex's "Ship-Feedback-Reset" model. This direct inquiry to heavy users about their priority choices continues OpenAI's transparent approach of outsourcing some product decisions to real users, similar to how the early GPT series quickly adjusted its direction based on community feedback.
On the capital path, OpenAI is partially handing over engineering resource allocation to user voices, motivated by maximizing retention and conversion rates. By making precise priority choices, they aim to avoid resource waste while accelerating Codex's transition from a coding tool to a full-scenario agent platform, thereby solidifying developer subscription revenue.
Similar to how Cursor and GitHub Copilot decide new feature priorities through user voting, and how Notion iterated AI features based on heavy user feedback, OpenAI Codex is currently in a mid-stage transition from rapid expansion to refined user-driven iteration.
Essentially, this represents a technological shift: traditional software development prioritizes are determined by internal PMs, while Codex publicly solicits input, transferring some decision-making power to heavy users. This mechanism allows real usage scenarios, rather than hypothetical needs, to become the core of resource allocation, promoting the evolution of the product from "engineer imagination" to "user co-creation," and accelerating the deep integration of AI tools into developer workflows.
ABAB News · Cognitive Law
Asking users for answers is ten times faster than guessing what they want. Choosing one out of features, reliability, and performance is where the real trade-offs begin. The voices of heavy users are more valuable than the roadmap.