99 stories tagged Coding · page 4 of 5
AI tools can generate code quickly, but fixing and maintaining that code often takes longer than writing it from scratch. This hidden cost is rarely discussed in the excitement around AI productivity gains.
Sea Limited is integrating OpenAI's Codex into its engineering teams to speed up AI-powered software development. This move highlights the growing trend of AI-assisted coding in Asia.
OpenAI has developed a secure sandbox for its Codex AI, allowing it to run safely on Windows. This enables coding agents to assist with programming tasks without risking system security.
OpenAI has integrated Codex into the ChatGPT mobile app, allowing users to write and manage code from their phones. This makes coding more accessible and flexible for developers on the go.
NVIDIA engineers and researchers are using OpenAI's Codex with GPT-5.5 to develop production systems and quickly turn research ideas into working experiments. This collaboration is making AI development faster and more accessible.
AutoScout24 is using AI to help its engineers write code faster and with fewer errors. This could mean quicker updates and new features for users. The company is also training its teams to use AI more widely, which might lead to even more improvements down the line.
GitGlimpse is a new command-line tool that helps developers understand AI-generated code changes more easily. It summarizes what changed and why, making it easier to review pull requests and understand the context behind AI-assisted coding.
Simplex is using OpenAI's Codex and ChatGPT Enterprise to make coding faster and more efficient. This could change how everyday developers work, making software creation more accessible.
Using AI as a judge for code quality often fails because it lacks real-world context. A new approach combines AI with human-like evaluation for better results. This matters because it could make AI tools more useful for developers.
OpenAI has developed strict security measures to ensure its AI coding assistant, Codex, operates safely. These measures include sandboxing, approvals, and network policies to prevent misuse. This approach helps protect users and organizations from potential risks while using AI for coding tasks.
A GitHub repository called Public APIs has over 323,000 stars and lists 1,500+ free APIs categorized by type. This resource is widely used by developers but often kept secret from beginners.
Google and Kaggle are offering a free 5-day intensive course on AI agents. The course is designed for beginners and covers practical skills in building AI applications.
OpenAI has unveiled GPT-5.5, its latest model, just a month after releasing GPT-5.4. The new model excels at coding tasks and is more efficient, marking a significant step in AI-driven productivity.
Alibaba has released Qwen3.6-27B, an open-source model with 27 billion parameters that excels in coding tasks, surpassing its larger predecessor. This model demonstrates significant advancements in agentic coding capabilities.
GitHub Copilot now integrates GPT-5.5, enhancing code completion and debugging capabilities. This marks a significant leap in AI-assisted development tools.
DeepSeek has previewed its new V4 model, claiming it rivals US systems like Anthropic and OpenAI. The focus on coding could reshape the AI landscape, especially in technical applications.
SpaceX has signed a $60 billion deal for the exclusive right to acquire AI coding startup Cursor. The move highlights the growing intersection of space technology and AI development.
Kimi K2.6 sets new standards in open-source coding with top-tier performance across multiple benchmarks. The model excels in long-horizon coding tasks, handling up to 4,000 tokens.
Researchers demonstrate that a tutor-student multi-agent system can enhance LLM problem-solving abilities beyond individual capabilities. The approach leverages structured social interaction to achieve synergistic effects in coding tasks.
The race to dominate AI-powered coding tools is intensifying among tech giants. This competition is reshaping how developers work and could redefine the future of software creation.
SuperHQ introduces a new way to run AI coding agents in isolated microVMs, ensuring system safety and clean workflows. The tool provides a unified diff view for managing changes without affecting the host environment.
Nous Research's NousCoder-14B matches proprietary systems in coding tasks, trained in just four days. This release comes as Claude Code dominates developer discussions.
The Linux kernel now permits the use of AI tools for contributions, with strict guidelines to ensure code quality. This marks a significant shift in open-source development practices.
Hiring practices are evolving with AI tools, shifting focus from algorithmic puzzles to real-world tasks and AI fluency. Developers and recruiters are grappling with how to evaluate candidates effectively in this new landscape.