Amazon Expands Developer Toolset: Claude Code and Codex Join Kiro on AWS

Amazon Expands Developer Toolset: Claude Code and Codex Join Kiro on AWS

Amazon has quietly shifted the rules of engagement for its internal developer community. In a recent staff note, the company announced that tens of thousands of its developers will now have immediate access to Anthropic’s Claude Code and, soon, OpenAI’s Codex — both hosted on AWS and Amazon Bedrock. The move signals a notable loosening of earlier restrictions that favored

OpenAI and Infosys: Scaling Codex into the Enterprise via Topaz

OpenAI and Infosys: Scaling Codex into the Enterprise via Topaz

OpenAI has struck a strategic partnership with Infosys to integrate its AI tools — notably the coding assistant Codex — into Infosys’s Topaz AI platform, aiming to help large enterprises move from pilot projects to wide-scale AI deployments. The collaboration is positioned to accelerate software modernization, automate development workflows and support DevOps, with an initial focus on software engineering and

OpenAI Brings Plugins to Codex, Narrowing the Gap with Claude Code

OpenAI Brings Plugins to Codex, Narrowing the Gap with Claude Code

OpenAI has quietly expanded Codex’s capabilities by adding a plugins system — a move that makes the coding assistant feel less like a standalone tool and more like a configurable platform. On the surface, these plugins are collections that can include workflow “skills,” integrations with external applications, and connections to MCP (Model Context Protocol) servers. For users, the most immediate

GPT-5.4 Lands: A Reasoning Powerhouse That Writes Code, Uses Your Computer, and Thinks Ahead

GPT-5.4 Lands: A Reasoning Powerhouse That Writes Code, Uses Your Computer, and Thinks Ahead

OpenAI’s March 2026 release, GPT-5.4, reads like a careful step toward AI that can carry an entire project from first idea to final delivery. It isn’t just a faster chatbot or a slightly smarter code generator — it’s a consolidated system that bundles advanced reasoning, strong coding skills, and native computer-use capabilities into a single model. The result is a