OpenAI announced the launch of its Codex agentic coding tool and a new model called GPT-5.3 Codex. The company says the model expands Codex's abilities from simple code writing to handling nearly any developer task, can create complex games and apps from scratch, runs 25 percent faster than its predecessor, and was partially built using earlier versions of itself. The release follows a near‑simultaneous launch by Anthropic, which moved its release 15 minutes earlier, sparking a brief race to market. Read more →

Anthropic released Opus 4.6, adding "agent teams" that let multiple agents work on segmented tasks in parallel. The model now supports a 1 million‑token context window and integrates Claude directly into PowerPoint, expanding its usefulness beyond software developers to a wider range of knowledge workers. Read more →

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 →

Anthropic announced the release of Claude Opus 4.6, an enhanced version of its most powerful Claude model. The upgrade focuses on faster, more accurate coding and better handling of complex app tasks through a step‑by‑step reasoning approach. Opus 4.6 can self‑check its work and make multiple attempts without user prompts. The new model is available to paying Claude users on Pro, Max, Team and Enterprise plans, with the Pro tier priced at $20 per month (or $17 with annual billing). Smaller models such as Sonnet 4.5 and Haiku 4.5 remain in the lineup. Read more →

GitHub has expanded its AI assistant offering by integrating Anthropic’s Claude and OpenAI’s Codex into the platform for Pro+ and Enterprise subscribers. The new agents can be invoked directly from issues, pull requests, the Agents tab, or the VS Code extension, and developers can address them with @claude, @codex or @copilot comments. Each session counts as a premium request during the public preview, and GitHub says additional agents from Google, Cognition and xAI are slated to join the lineup. Read more →

A developer turned to the Claude large‑language model to create a Python script that colorizes log output and supports scrolling in a terminal viewport. While the initial tool functioned, horizontal scrolling caused near‑full CPU usage on a single core. The developer asked the model for a zero‑CPU impact solution, only to learn that such performance is unattainable. Claude suggested low‑impact alternatives, but after extensive token consumption and code revisions, the effort stalled without a satisfactory fix. Read more →

GitHub has launched a public preview that brings Anthropic's Claude and OpenAI's Codex AI coding agents directly into GitHub, GitHub Mobile, and Visual Studio Code. Available to users with Copilot Pro Plus or Copilot Enterprise subscriptions, the new agents join GitHub's Agent HQ vision, allowing developers to select from Copilot, Claude, Codex, or custom agents for tasks such as issue handling and pull‑request assistance. The integration aims to reduce context switching, let developers compare agent performance, and expand the range of AI models available within the platform. Microsoft is also testing Claude Code alongside Copilot. Read more →

OpenAI has introduced the Codex app, a macOS‑only desktop tool that lets software developers orchestrate multiple AI coding agents. The app supports parallel workflows, background tasks, and reusable automations, allowing developers to run code generation, reviews, and scheduled jobs without leaving their local environment. Early users note the ability to manage separate worktrees and threads, reducing the need to switch between terminals, IDEs, and cloud consoles. While the launch is limited to macOS, the feature set signals a shift toward AI agents acting as collaborative teammates in the software development process. Read more →

OpenAI has launched a new macOS application for its Codex coding tool, extending the platform beyond the earlier command‑line and web interfaces. The app supports multiple AI agents working in parallel, offers background automations, and lets users choose different agent personalities. The release follows the recent rollout of the GPT‑5.2‑Codex model and reflects a broader trend toward agentic software development, where AI agents handle much of the programming workload. OpenAI executives highlighted the speed and flexibility the new interface brings to developers. Read more →

OpenClaw, formerly known as Clawdbot and Moltbot, is an open‑source AI assistant that integrates directly into messaging apps to automate tasks, remember conversations, and send proactive reminders. After a rapid rise in popularity, the project faced a trademark challenge from Anthropic, a wave of crypto‑related scams, and several security concerns tied to exposed deployments. Despite these setbacks, the developer has rebranded the tool as OpenClaw, addressed many of the vulnerabilities, and continues to attract interest from developers and early adopters who see it as a glimpse of what a truly personal AI assistant could become. Read more →

Moonshot AI, backed by major investors, announced the release of Kimi K2.5, a multimodal model trained on a massive dataset of text, image, and video tokens. The model is positioned to match or exceed the performance of proprietary competitors in coding and video understanding benchmarks. Alongside the model, Moonshot introduced Kimi Code, an open‑source coding assistant that lets developers work with text, images, and video inputs across popular development environments. The moves underscore Moonshot's push to become a leading player in AI‑driven software development tools. Read more →

A developer who has experimented with Claude Code, Claude Opus 4.5, and OpenAI Codex describes how AI coding agents provide a rapid, 3D‑printer‑like experience for prototyping software. While these tools can spit out flashy prototypes and even simple games, the author notes that creating durable, production‑ready code still requires seasoned programming experience, patience, and skill beyond what the agents can deliver on their own. Read more →

A hands‑on experiment compared Google’s Gemini 3 Pro (a “thinking” model) with Gemini 2.5 Flash (a “fast” model) for vibe‑coding—a workflow that creates web projects through natural‑language prompts. Using the same project idea, a horror‑movie showcase, the author found the Pro model produced a more polished result with fewer manual steps, while the Flash model was quicker but required more specific prompting and frequent fixes. The test highlighted differences in speed, depth of reasoning, and user effort, offering insight for developers choosing between Gemini’s model tiers. Read more →

A new series featuring tech leaders argues that artificial intelligence is not a threat to software developers but a catalyst for their evolution. While no‑code and “vibe coding” tools can speed up simple projects, complex products still require human expertise in architecture, security, and user experience. Developers who learn to collaborate with AI will become more efficient and valuable, using the technology to handle repetitive tasks and focus on higher‑level problems. The piece emphasizes that AI is a tool, not a replacement, and that the most successful developers will be those who become AI‑savvy. Read more →

Microsoft chief executive Satya Nadella has begun publishing a personal blog on the platform “sn scratchpad.” In his first entry, Nadella urges the industry to move beyond debates about “AI slop versus sophistication” and to focus on building AI agents that act as cognitive amplifiers for users. He highlights Microsoft’s vision of voice‑driven Copilot tools, acknowledges current gaps between promise and performance, and calls for a shift from isolated models to integrated systems that consider societal impact. Nadella frames 2026 as a pivotal year for artificial intelligence and promises more regular commentary on technology’s real‑world effects. Read more →

A hands‑on comparison of Google’s Gemini 3 Pro and Gemini 2.5 Flash models shows that the higher‑tier model delivers deeper reasoning and smoother code generation for vibe‑coding projects, while the faster model requires more manual prompting and frequent fixes. The experiment highlights trade‑offs between speed and depth, with Gemini 3 Pro generally producing more complete results with fewer iterations. Read more →

AI coding agents face limits on the amount of code they can process at once, which can quickly consume token or usage limits when large files are fed directly into a language model. To work around these constraints, developers fine‑tune models to generate auxiliary scripts that extract needed data, allowing the agents to operate on smaller, targeted inputs. Techniques such as dynamic context management and context compression let agents summarize past interactions, preserving essential details while discarding redundant information. These approaches enable semi‑autonomous tools like Claude Code and OpenAI Codex to handle complex codebases more efficiently without overwhelming the underlying model. Read more →

Vibe coding—using large language models to write software from prompts—offers faster development and broader accessibility, but it also introduces serious security risks. Studies show a significant portion of AI‑generated code contains serious flaws, and attackers can exploit poisoned code libraries to spread vulnerabilities. Experts stress that human oversight, strict code reviews, private sandboxed models, and Zero‑Trust access controls are essential to mitigate these threats while still benefiting from the efficiency of AI‑assisted development. Read more →

Cursor, the AI coding startup, has launched Visual Editor, a new feature that lets developers and designers modify web‑app aesthetics using natural‑language prompts. The tool blends design controls with code, offering real‑time CSS adjustments and a chat interface powered by Cursor’s AI. Aimed at reducing friction between design and development teams, Visual Editor expands Cursor’s platform beyond pure coding and positions the company against competitors in the burgeoning AI‑driven software creation market. Read more →

Vibe coding lets developers and non‑programmers create apps by describing functionality in plain language, with AI models generating the underlying code. Coined by Andrej Karpathy, the approach builds on recent advances in large language models and blurs the line between low‑code, no‑code, and traditional programming. While it speeds prototyping and opens software creation to a broader audience, experts warn that human oversight remains essential for security, performance, and maintainability. Read more →