All posts tagged: Codex

75% of developers I surveyed prefer Claude Code – here’s why they choose it over Codex

75% of developers I surveyed prefer Claude Code – here’s why they choose it over Codex

Published by skeptic

Elyse Betters Picaro / ZDNET Follow ZDNET: Add us as a preferred source on Google. ZDNET’s key takeaways Claude Code dominates, but Codex has crucial advantages. Cost, workflow, and trust matter as much as code quality. Whichever AI you choose, human review remains essential. Earlier this week, I explored the differences (or, really, amazing similarities) between agentic coding AIs, ChatGPT Codex and Claude Code. I explained how I use both tools and provided some suggestions for exploring them. Also: Claude Code vs. Codex: Why I use both and how to choose one (if you must) But I’m just one guy. In this article, we’ll broaden our selection to more than 100 developers who actively use AI coding tools. To be clear, this isn’t a fully scientific survey. I posted a call for developer opinions to HARO and Qwoted, two services that specialize in connecting experts who want to be quoted or interviewed with journalists and analysts who might choose to quote or interview them. Also: Claude’s Record-a-Skill cut my research from hours to 30 minutes – but the magic …

AWS Continuum integrates with OpenAI Codex and Anthropic Claude Code in major AI security push

AWS Continuum integrates with OpenAI Codex and Anthropic Claude Code in major AI security push

Published by skeptic

Amazon Web Services is threading its AI-powered security infrastructure directly into the coding environments built by two of its fiercest rivals — and in doing so, it is making a bold bet that controlling the security layer matters more than controlling the model. AWS announced at Black Hat USA 2026 this month that its Continuum platform for code vulnerabilities will integrate directly into Anthropic’s Claude Code and OpenAI’s Codex, alongside AWS’s own Kiro IDE. The move embeds AWS security tooling at the point where developers write code, regardless of which AI model they use to do it. Simultaneously, AWS expanded Security Hub Extended — its curated, single-bill security marketplace launched in February — with a 10th security category focused on supply chain protection, bringing in Chainguard and Socket as partners. Together, the announcements are AWS’s most sweeping attempt yet to position itself as the default security control plane for enterprise software development in the AI era — a role that carries enormous commercial implications as the global cloud infrastructure market surpasses $143 billion per quarter, …

I tried out OpenAI’s new AI keypad — which will be fun for some coders and slightly mystifying to everyone else

I tried out OpenAI’s new AI keypad — which will be fun for some coders and slightly mystifying to everyone else

Published by skeptic

OpenAI launched its first piece of hardware last week — a fancy little keypad built to pair with ChatGPT. Micro, which was developed in collaboration with specialty keyboard designer Work Louder, is essentially an artisanal workplace novelty that many tech enthusiasts will love and that may leave everyone else a little puzzled. OpenAI’s entrance into the hardware market hasn’t arrived without drama. Several weeks ago, Apple sued the AI lab and accused it of trade theft — kicking off what’s certain to be a long-simmering legal battle. Meanwhile, news of another smart home product in development at OpenAI has also raised eyebrows, as the supposed device — which is being built to pair with ChatGPT — was reportedly developed by former Apple engineers. Until the legal battle works itself out and OpenAI’s broader hardware ambitions materialize, the most the startup has to offer is Micro — a funky little keypad clearly engineered to delight the tech industry’s code monkeys. OpenAI sent TechCrunch a Micro test unit. The first big thing you notice when initially handling …

Agentic coding goes hands-free as OpenAI brings GPT-Live’s full duplex voice control to Codex and ChatGPT on the desktop

Agentic coding goes hands-free as OpenAI brings GPT-Live’s full duplex voice control to Codex and ChatGPT on the desktop

Published by skeptic

Two weeks after debuting its more naturalistic GPT-Live audio AI model with full-duplex capabilities (listening and speaking at the same time), OpenAI is bringing it directly into developer workflows. The company announced that GPT-Live now powers the ChatGPT desktop application on macOS and Windows, integrating directly with agentic systems like Codex and ChatGPT Work (which are separate experiences available in the ChatGPT desktop app). When OpenAI initially launched GPT-Live on July 8, 2026, it introduced a continuous audio model capable of listening and speaking simultaneously—eliminating rigid turn-taking while delegating complex reasoning to background models like GPT-5.5. Today’s release expands that conversational layer to technical tasks, enabling software engineers to orchestrate multi-threaded coding jobs, review pull requests, and debug applications using natural voice commands. As such, it could usher in a new era of “hands free” software development and even live, in-person group coding parties for the more than 10 million weekly active users across Codex and ChatGPT Work. Codex, of course, is the name given to OpenAI’s models and harness focused on coding, but which …

How I stopped a massive WordPress spam attack with 4,700 lines of code in two days – thanks to Codex and Claude

How I stopped a massive WordPress spam attack with 4,700 lines of code in two days – thanks to Codex and Claude

Published by skeptic

Screenshot by David Gewirtz/ZDNET Follow ZDNET: Add us as a preferred source on Google. ZDNET’s key takeaways Spammers found ways in and flooded my database. Claude and Codex became my emergency coding team. The 4,700-line fix added stronger defenses and cleanup tools. About a month ago, my main website was on the receiving end of a new attack. Spammers were using the username field as a message carrier, stuffing it with a fake domain and crypto bait such as “check balance,” “withdraw funds,” “BTC transfer” and “action required.” WordPress then helpfully forwarded that payload to me in thousands of “new user registration” emails. Also: Apple rushed to squash 29 bugs because AI is supercharging hackers – update ASAP At that time, my server was using a commercially purchased security product that was supposed to protect my WordPress website from registration spam. That product clearly wasn’t up to the task. I’m the developer of a WordPress security plugin that is designed to help users restrict access to their websites. Since the registration spam security product I had been …

Meta Restricts Engineers’ Use of Claude Code And Codex Over Model ‘Distillation’ Concerns

Meta Restricts Engineers’ Use of Claude Code And Codex Over Model ‘Distillation’ Concerns

Published by Jenni Sidey

Meta Platforms has instructed engineers in its Applied AI division to limit or restrict their use of Anthropic’s Claude Code and OpenAI’s Codex coding and agent tools, according to internal documents reviewed by The Information. The policy, driven by concerns over inadvertent model distillation, aims to prevent outputs from rival AI systems from contaminating Meta’s own training data and model development processes for its Llama family of models (which, quite frankly, could only help). The move reflects the increasingly zero-sum nature of frontier AI development, where companies aggressively protect the provenance and purity of their training data while seeking to reduce reliance on competitor tools. Internal guidelines referencing the restrictions date back to at least May, with the policy actively in effect as of late June. Meta has not publicly confirmed or commented on the directive. According to the internal documents, strict limits have been placed on how engineers in the applied AI division can use the rival tools. The stated goal is to block “inadvertent distillation” of competitor model outputs into Meta’s AI development …

I tested Claude Code, Codex, and Antigravity on a real electronics project — only one actually finished

I tested Claude Code, Codex, and Antigravity on a real electronics project — only one actually finished

Published by skeptic

AI coding agents are a dime a dozen in 2026, but not all of them are worth your time. Different models respond differently to problems, and a model that can create a flawless website in minutes might not be as good at writing bash scripts. Now there are certain projects where I won’t vibe code, but working on smaller electronics projects is the perfect place for these models to shine. So I put Claude Code, Codex, and Antigravity to the test in a real electronics project — a simple dashboard with an ESP32, an OLED display, and a temperature sensor that can do several things at once. And while all three models can get you a working prototype, you’d not want to blindly pick your coding assistant. Related I’ve vibe coded 7 working apps — I wish I knew these 3 things when I started As I’ve vibe coded and re-coded 7 working projects over the past 3 months, there’s three golden rules that I’ve developed. A simple dashboard turned into a serious test Building …

New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget

New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget

Published by skeptic

Imagine your engineering team just deployed an AI agent to search through internal company documents and answer employee questions. It works perfectly in development, but in production, it consistently hallucinates or misses key constraints. Fixing this is rarely a simple patch. It requires a tedious, trial-and-error process of tweaking chunking strategies, retrieval methods, and system prompts simultaneously. Because these adjustments are entangled, it becomes nearly impossible to attribute which specific tweak actually solved the problem.  To address this challenge, researchers at Renmin University of China and Microsoft Research introduced Arbor, a framework that upgrades AI-driven research and optimization from a sequence of trial-and-error guesses into a cumulative learning process. Arbor organizes hypotheses, experiments, and insights into a tree that helps the system learn from prior failures to make smarter, verified improvements over time. In practical tests, Arbor delivered more than 2.5 times the verifiable performance gains of standard AI coding agents across real-world engineering tasks while operating under the same resource budget.  For enterprise AI, this technique directly translates to automating the continuous improvement of …

OpenAI’s Codex update lets agents build interactive enterprise workspaces via Sites and role-specific plugins

OpenAI’s Codex update lets agents build interactive enterprise workspaces via Sites and role-specific plugins

Published by skeptic

Agentic AI is moving rapidly from the developer terminal to the corporate world. On Tuesday, OpenAI announced a major update of its agentic AI platform Codex, introducing domain-specific workflows, a rapid, semi-private web hosting feature within it for enterprises called “Sites,” and an in-place editing tool named “Annotations”. The release marks a deliberate strategy to transform Codex from a specialized programming assistant into an everyday operating environment for business professionals. Non-developers—including financial analysts, marketers, operators, and researchers—now constitute approximately 20% of the platform’s 5 million weekly users and are adopting the technology three times faster than traditional engineers, according to research shared by OpenAI with VentureBeat and other outlets. OpenAI is capitalizing on this shift to position Codex as the premier application for white-collar task automation. The timing of the announcement is highly strategic, arriving precisely as its own primary investor turned business rival Microsoft this week kicks off its annual BUILD developer conference in San Francisco—where a slate of competing enterprise productivity tools is expected—and hot on the heels of Anthropic’s rapid adoption among …

OpenAI’s Codex Can Now Use Your Mac Even When It’s Locked

OpenAI’s Codex Can Now Use Your Mac Even When It’s Locked

Published by skeptic

OpenAI has rolled out Computer Use for its Codex desktop app on macOS, and its latest trick is that your Mac doesn’t even have to be unlocked for the coding agent to use your apps while you’re away. In a post on X, OpenAI Developers said users can now send Codex tasks from their phone and have it operate apps on their Mac “even when the screen is off and locked.” A picture attached to the post shows a locked Mac displaying a “Codex is Using Your Mac” overlay with a prompt to press any key or click to unlock. For the feature to work, the Computer Use plugin needs to be installed and granted Screen Recording and Accessibility permissions. After that, Codex can click through windows, type, navigate menus, and interact with the clipboard in apps that you explicitly allow. OpenAI says the feature is useful for the types of things command-line tools can’t easily reach, such as reproducing a GUI-only bug, changing app settings, or running a flow in a desktop app Codex …