OpenAI introduces GPT-5.2-Codex for software engineering
Briefly

OpenAI introduces GPT-5.2-Codex for software engineering
"OpenAI has released GPT-5.2-Codex, a new version of its agentic AI model for software development that focuses specifically on professional software engineering and cybersecurity. The model builds on GPT-5.2 but has been further optimized to work independently within complex development environments. With this release, OpenAI is positioning Codex not just as a programming assistant but as a broader support technology for the entire software development process."
"GPT-5.2-Codex is designed to perform tasks that normally require a lot of time and human coordination. The model can analyze, modify, and maintain large codebases, while summarizing relevant context concisely to continue working consistently over time. This makes it suitable for refactoring, migrations, and other major code changes that often occur in enterprise environments. According to OpenAI, the model can improve existing applications without adding new functionality, for example by reducing memory usage or optimizing performance."
"An important technical difference from previous Codex versions is its improved handling of long and complex tasks. Thanks to context compaction, GPT-5.2-Codex can execute multi-step processes without losing track. Integration with development tools and terminals has also been further refined, making the model more reliable in realistic development scenarios. In addition, explicit attention has been paid to better support for Windows environments, a frequently cited limitation of previous AI development tools."
GPT-5.2-Codex is an agentic AI model tailored for professional software engineering and cybersecurity. The model extends GPT-5.2 and is optimized to operate autonomously within complex development environments. It can analyze, modify, and maintain large codebases while compacting context to preserve continuity across multi-step processes. Integrations with development tools and terminals have been refined, with improved support for Windows. The model can improve application efficiency by reducing memory usage and optimizing performance without adding new functionality. Enhanced visual capabilities enable interpretation of screenshots, diagrams, and interfaces and conversion of designs and mockups into functional prototypes.
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