Building Self-Improving Tax Agents with Codex
OpenAI, Thrive, and Crete collaborated to build a self-improving tax agent using Codex, targeting automation of tax filings, accuracy improvements, and workflow acceleration. The system demonstrates an agentic deployment pattern where the agent iteratively improves its own performance. This represents a concrete enterprise deployment case study of OpenAI's Codex in a high-stakes professional domain.
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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.
How Endava builds an agentic organization with Codex
Endava, a technology services company, has deployed OpenAI's Codex to accelerate software delivery workflows and reduce requirements analysis time from weeks to hours. The case study describes Endava's approach to building an 'agentic organization' using Codex as a core tool. This is a deployment case study published on OpenAI's blog highlighting enterprise adoption of agentic coding capabilities.
Scaling Codex to enterprises worldwide
OpenAI is launching Codex Labs and forming partnerships with major consulting and IT firms including Accenture, PwC, and Infosys to accelerate enterprise adoption of Codex across the software development lifecycle. The announcement reports 4 million weekly active users for Codex. This represents a significant push to embed OpenAI's coding AI into large-scale enterprise workflows through established system integrators.
Introducing Codex
OpenAI has announced Codex, a new product or capability targeting software development and coding tasks. The announcement comes from OpenAI's official blog, suggesting a significant product or model release. The body content was not provided, but given the Codex name and OpenAI's history, this likely involves an AI-powered coding agent or updated code generation system. Further details on capabilities, pricing, and availability are expected in the full announcement.
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.
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.
Codex is now generally available
OpenAI has moved Codex to general availability, introducing a Slack integration, a Codex SDK, and enterprise-oriented admin tools including usage dashboards and workspace management. The release positions Codex as a scalable developer and enterprise product. These additions suggest OpenAI is targeting broader organizational adoption beyond individual developers.
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.