How Ramp engineers accelerate code review with Codex
Ramp's engineering team has deployed OpenAI's Codex with GPT-5.5 to automate and accelerate code review workflows, reducing feedback time from hours to minutes. The case study highlights an enterprise deployment pattern where agentic coding tools are integrated into production software development pipelines. This represents a concrete example of GPT-5.5 and Codex being used in real-world enterprise settings.
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How Braintrust turns customer requests into code with Codex
Braintrust engineers are using OpenAI's Codex with GPT-5.5 to accelerate coding workflows and run experiments faster. The post describes how the team integrates Codex into their development process to convert customer requests into working code. This is a deployment case study highlighting practical use of OpenAI's latest coding-focused model in a production engineering context.
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.
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.
Datadog uses Codex for system-level code review
OpenAI has published a case study describing Datadog's deployment of Codex for system-level code review tasks. The announcement highlights an enterprise adoption pattern where a major observability/monitoring company integrates OpenAI's code-focused model into production engineering workflows. Specific technical details about the integration scope, model version, or performance metrics are not available from the provided content.
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.
Powering next generation applications with OpenAI Codex
OpenAI announced that Codex is now powering 70 different applications across various use cases via the OpenAI API. The post highlights the breadth of adoption of Codex as a developer tool for code generation and related tasks. This represents an early milestone in the enterprise and developer ecosystem deployment of large language models for coding.
OpenAI releases GPT-5-Codex: GPT-5 variant optimized for agentic coding
OpenAI has published an addendum to the GPT-5 system card introducing GPT-5-Codex, a version of GPT-5 specifically optimized for agentic coding within the Codex environment. The model features dynamic thinking-effort adjustment, scaling compute based on task complexity—responding quickly to simple queries while sustaining longer independent work on complex coding tasks. This represents a specialized derivative of GPT-5 targeting software engineering agents rather than general-purpose use.
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.