Codex Head Tibo Asks: What Features Should Have Been Implemented by Now but Are Still Unsatisfactory?
Codex head Tibo asked on platform X: "What surprises you that Codex has not yet accomplished well, and what should we have done a long time ago?"
This post aims to collect user feedback to identify product pain points and areas for improvement.
As an AI tool related to coding, this question reflects the team's emphasis on long-term user experience.
Source: Public Information
ABAB AI Insight
Tibo's question reflects Codex's open attitude towards iteration, discovering blind spots through community feedback. Common pain points for code AI may include understanding complex project contexts, accuracy in generating domain-specific code, or debugging capabilities.
On the capital path, Codex accelerates product optimization by publicly soliciting opinions, strategically enhancing user stickiness and market competitiveness, and promoting the evolution from basic code completion to advanced engineering assistance.
Similar to other AI tools that regularly collect feedback, Codex's initiative reflects the transformation of mature AI products from being technology-driven to user-driven, with community input becoming an important source of iteration.
Essentially a product iteration, the public inquiry reduces internal blind spots, focusing capital on user-oriented, rapidly responsive AI tools.
ABAB News · Cognitive Law
Excellent products are always actively seeking their own shortcomings.
User feedback is the best fuel for the evolution of AI tools.
Features that should have been implemented long ago often represent long-term pain points.