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OpenAI Unveils GPT-5.3-Codex, Expanding Coding Model Capabilities

OpenAI Unveils GPT-5.3-Codex, Expanding Coding Model Capabilities
OpenAI introduced GPT-5.3-Codex, a new version of its coding model that will be accessible through a command‑line tool, IDE extension, web interface, and a macOS desktop app. While API access is not yet available, the company reports that the model outperforms its predecessors on benchmarks such as SWE‑Bench Pro and Terminal‑Bench 2.0. OpenAI also emphasizes that GPT-5.3-Codex was instrumental in creating itself, positioning the model as a broader software‑lifecycle assistant capable of debugging, deployment, documentation, and more, with mid‑task steering and frequent status updates. Read more →

AI‑Assisted Coding Resilience and Risks in Modern Software Development

AI‑Assisted Coding Resilience and Risks in Modern Software Development
AI tools are reshaping how developers write and understand code, offering speed and convenience while also raising questions about quality, security, and skill erosion. The technology works best when used for focused tasks, acting as an editorial partner rather than a full‑scale replacement. Experts warn that reliance on AI can diminish deep programming knowledge, yet the same tools can accelerate learning and improve security when combined with human oversight. The evolving balance between automation and craftsmanship defines the current debate on AI’s role in software engineering. Read more →

AI‑Assisted Coding Resilience and Risks in Modern Software Development

AI‑Assisted Coding Resilience and Risks in Modern Software Development
AI tools are reshaping how developers write and understand code, offering speed and convenience while also raising questions about quality, security, and skill erosion. The technology works best when used for focused tasks, acting as an editorial partner rather than a full‑scale replacement. Experts warn that reliance on AI can diminish deep programming knowledge, yet the same tools can accelerate learning and improve security when combined with human oversight. The evolving balance between automation and craftsmanship defines the current debate on AI’s role in software engineering. Read more →

AI‑Assisted Coding Resilience and Risks in Modern Software Development

AI‑Assisted Coding Resilience and Risks in Modern Software Development
AI tools are reshaping how developers write and understand code, offering speed and convenience while also raising questions about quality, security, and skill erosion. The technology works best when used for focused tasks, acting as an editorial partner rather than a full‑scale replacement. Experts warn that reliance on AI can diminish deep programming knowledge, yet the same tools can accelerate learning and improve security when combined with human oversight. The evolving balance between automation and craftsmanship defines the current debate on AI’s role in software engineering. Read more →

AI‑Assisted Coding Resilience and Risks in Modern Software Development

AI‑Assisted Coding Resilience and Risks in Modern Software Development
AI tools are reshaping how developers write and understand code, offering speed and convenience while also raising questions about quality, security, and skill erosion. The technology works best when used for focused tasks, acting as an editorial partner rather than a full‑scale replacement. Experts warn that reliance on AI can diminish deep programming knowledge, yet the same tools can accelerate learning and improve security when combined with human oversight. The evolving balance between automation and craftsmanship defines the current debate on AI’s role in software engineering. Read more →