OpenAI blog: Jason Liu on using Codex for long-running agentic work
OpenAI published a case study featuring Jason Liu's workflow for using Codex to manage complex, long-running projects that extend beyond a single prompt. The post focuses on context preservation and project management techniques within Codex. It serves as a deployment/usage pattern showcase for OpenAI's coding agent.
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Harness Engineering: Leveraging Codex in an Agent-First World
OpenAI published a technical post by Ryan Lopopolo describing how Codex is being used in an agent-first engineering workflow. The piece appears to cover practical patterns for integrating Codex into software development pipelines where AI agents take a more central role. As a Tier 1 source announcement, it likely details real-world engineering practices and lessons from deploying Codex at scale.
Running Codex Safely at OpenAI
OpenAI published a blog post describing the security architecture used to run Codex as a coding agent internally, covering sandboxing, human approval workflows, network policies, and agent-native telemetry. The post is aimed at supporting enterprise adoption of coding agents by demonstrating safe and compliant deployment patterns. It provides operational detail on how OpenAI itself governs agentic code execution in production.
How NVIDIA Engineers and Researchers Build with Codex
OpenAI published a case study describing how NVIDIA teams use Codex powered by GPT-5.5 to ship production systems and accelerate research experimentation. The piece highlights enterprise adoption of Codex as a coding agent in a major hardware/AI lab context. It signals continued real-world deployment of OpenAI's agentic coding tools at scale.
Introducing upgrades to Codex
OpenAI has announced upgrades to Codex, its AI coding agent, improving speed, reliability, and real-time collaboration capabilities. The updates extend Codex's reach across multiple development environments including terminal, IDE, web, and mobile. The announcement emphasizes both interactive collaboration and autonomous task execution.
Unrolling the Codex Agent Loop
OpenAI published a technical deep dive into the Codex CLI agent loop, detailing how it orchestrates models, tools, and prompts via the Responses API. The post explains the internal architecture of the agentic coding system, including how the loop manages state, tool calls, and performance. This provides concrete implementation detail on how OpenAI structures production agent workflows on top of its API primitives.
Sea Limited's CPO on Deploying OpenAI Codex Across Engineering Teams
Sea Limited's Chief Product Officer David Chen discusses the company's decision to deploy OpenAI Codex across its engineering teams to accelerate AI-native software development in Asia. The piece frames Codex as a tool for agentic software development workflows. This is a customer perspective piece published on OpenAI's blog, highlighting enterprise adoption of Codex in a major Southeast Asian technology conglomerate.
OpenAI expands Codex with plugins, sites, and annotations for non-engineering roles
OpenAI announced new Codex capabilities including plugins, sites, and annotations targeting analysts, marketers, designers, investors, and other non-engineering teams. The expansion positions Codex as a broader productivity platform beyond software development. This represents a product surface expansion for OpenAI's coding-focused AI agent.
Unlocking the Codex Harness: How OpenAI Built the App Server
OpenAI published a technical deep-dive on the Codex App Server, a bidirectional JSON-RPC API designed to embed the Codex coding agent into external applications. The server supports streaming progress updates, tool use, human-in-the-loop approvals, and diff outputs. The post explains the architectural choices enabling developers to integrate Codex agent capabilities programmatically.