Core Viewpoint - OpenAI has launched a new model, GPT-5-Codex, which is a fine-tuned variant of GPT-5 designed specifically for AI-assisted programming tools, demonstrating improved performance in coding tasks and dynamic thinking time [2][3][4]. Group 1: Model Features and Performance - GPT-5-Codex features enhanced code review capabilities that can identify potential critical errors before product release, helping developers mitigate risks [5]. - Unlike static analysis tools, Codex matches the intent of pull requests (PRs) with actual differences, reasoning through the entire codebase and its dependencies, thus filling the gap left by manual reviewers [6]. - The model can dynamically adjust its thinking time based on task complexity, showing strong capabilities in handling complex engineering tasks independently for over 7 hours [9][18]. Group 2: User Experience and Feedback - Users have reported that GPT-5-Codex can autonomously run tasks for extended periods, significantly improving efficiency compared to its predecessor, GPT-5 [21][24]. - The model supports seamless switching between local and web development environments, enhancing user experience [21]. - Feedback from users indicates that GPT-5-Codex is capable of solving bugs that previous versions could not, marking a significant upgrade in performance [22][24]. Group 3: Market Context and Competition - The AI coding tools market is becoming increasingly competitive, with significant investments flowing into companies like Anysphere and Anthropic, which are also developing AI coding products [26][27]. - Anysphere recently completed a $900 million funding round, achieving a valuation of $9.9 billion, while Anthropic raised $13 billion, becoming one of the most valuable startups globally [27][28]. - The rapid growth of AI coding tools is prompting discussions about the future of programming jobs, with some users expressing concerns about job displacement due to the efficiency of AI tools like GPT-5-Codex [24][25].