OpenAI Official Plugin Strongly Integrated into Claude Code

marsbitОпубликовано 2026-03-31Обновлено 2026-03-31

Введение

OpenAI has officially released the "codex-plugin-cc" on GitHub, enabling developers to integrate OpenAI’s Codex model capabilities directly into Anthropic’s command-line development tool, Claude Code. This cross-platform integration breaks down ecosystem barriers between major AI tools, allowing developers to leverage the strengths of both models without switching environments. With simple configuration, Claude Code becomes a versatile programming assistant combining the advantages of both companies. Key features include: - Standard code review via the `/codex:review` command, providing expert improvement recommendations and double-checking for logic errors. - Adversarial review using `/codex:adversarial-review`, which challenges design decisions to identify potential performance bottlenecks or security risks. - Task delegation through `/codex:rescue`, allowing complex debugging or repair tasks to be handed off to a Codex sub-agent for collaborative problem-solving. This integration enhances code quality and development efficiency through multi-model collaboration.

Recently, the AI developer community welcomed a major update: OpenAI officially released an open-source project named codex-plugin-cc on GitHub. This plugin allows developers to directly utilize the capabilities of OpenAI's Codex model within the command-line development tool Claude Code, introduced by Anthropic.

This "cross-brand" integration breaks down the ecosystem barriers that previously existed between major AI model tools, enabling developers to leverage the technical strengths of both industry giants without switching environments. With simple command configurations, Claude Code instantly transforms into an all-in-one programming assistant that combines the best of both.

Empowered by this plugin, users can initiate a standard read-only code review using the /codex:review command to receive professional improvement suggestions from Codex. This dual verification mechanism effectively catches logical vulnerabilities that a single model might miss, adding a "double insurance" for code quality.

More uniquely, its "adversarial review" feature allows developers to use /codex:adversarial-review to actively request Codex to challenge existing design decisions. This mode is specifically designed to stress-test the rationality of system architecture, uncovering potential performance bottlenecks or security risks from a "fault-finding" perspective.

Additionally, the plugin introduces a task delegation mechanism, enabling users to transfer complex debugging or repair tasks to a Codex sub-agent via /codex:rescue. This collaborative model achieves automatic task distribution, allowing the primary model and auxiliary models to each focus on their respective areas of expertise.

github:https://github.com/openai/codex-plugin-cc

Связанные с этим вопросы

QWhat is the name of the official OpenAI plugin that integrates with Claude Code?

AThe plugin is called codex-plugin-cc.

QWhat is the primary function of the /codex:review command in the new plugin?

AThe /codex:review command is used to initiate a standard read-only code review to get professional improvement suggestions from the Codex model.

QWhat unique feature does the /codex:adversarial-review command provide?

AThe /codex:adversarial-review command enables an 'adversarial review' function, which actively challenges existing design decisions to stress-test the system architecture and uncover potential performance bottlenecks or security risks.

QHow does the /codex:rescue command facilitate task management?

AThe /codex:rescue command allows users to delegate complex debugging or repair tasks to a Codex sub-agent, enabling a collaborative model where the main and auxiliary models work in their respective areas of expertise.

QWhere was the codex-plugin-cc project officially released?

AThe project was officially released by OpenAI on GitHub.

Похожее

Fu Peng's First Public Speech in 2026: What Exactly Are Crypto Assets? Why Did I Join the Crypto Asset Industry?

Fu Peng, a renowned macroeconomist and now Chief Economist at New火 Group, delivered his first public speech of 2026 at the Hong Kong Web3 Festival. He explained his perspective on crypto assets and why he joined the industry, framing it within the context of macroeconomic trends and financial evolution. Fu emphasized that crypto assets are transitioning from an early, belief-driven phase to a mature, institutionally integrated asset class. He drew parallels to the 1970s-80s, when technological advances (like computing) revolutionized traditional finance, leading to the rise of FICC (Fixed Income, Currencies, and Commodities). Similarly, current advancements in AI, data, and blockchain are reshaping finance, with crypto assets becoming part of a new "FICC + C" (C for Crypto) framework. He noted that institutional capital, including traditional hedge funds, avoided early crypto due to its speculative nature but are now engaging as regulatory clarity emerges (e.g., stablecoin laws, CFTC classifying crypto as a commodity). Fu predicted that 2025-2026 marks a turning point where crypto becomes a standardized, financially viable asset for diversified portfolios, akin to commodities or derivatives in traditional finance. Fu defined Bitcoin not as "digital gold" in a simplistic sense but as a value-preserving, financially tradable asset. He highlighted that crypto's future lies in regulated, institutional adoption, moving away from retail-dominated trading. His entry into crypto signals this maturation, where traditional finance integrates crypto into mainstream asset management.

marsbit32 мин. назад

Fu Peng's First Public Speech in 2026: What Exactly Are Crypto Assets? Why Did I Join the Crypto Asset Industry?

marsbit32 мин. назад

Justin Sun Sues Trump Family: What $75 Million Bought Was Only a Blacklist

Justin Sun, founder of Tron, has filed a lawsuit in federal court against World Liberty Financial (WLF), alleging he was made the "primary target of a fraudulent scheme" after investing $75 million. Sun claims the investment secured him an advisor title and WLFI tokens, which were later frozen by WLF, causing "hundreds of millions in losses." The dispute began in late 2024 when Sun's investment helped revive WLF's struggling token sale, which ultimately raised $550 million. Shortly after, the SEC dropped its lawsuit against Sun following Donald Trump's inauguration. However, relations soured when Sun refused WLF's demands for additional funding. In August 2025, WLF added a "blacklist" function to its smart contract, allowing it to unilaterally freeze tokens. Sun's holdings, worth approximately $107 million, were frozen, and he was threatened with token destruction. The lawsuit highlights WLF's structure, which directs 75% of token sale profits to the Trump family, who had earned $1 billion by December 2025. WLF's CEO is Zach Witkoff, son of U.S. Middle East envoy Steve Witkoff. The project faces scrutiny for opaque operations, including a controversial loan arrangement on the Dolomite platform, co-founded by a WLF advisor. Despite Sun's history with the SEC, the case underscores centralization risks within DeFi, as WLF controls governance and holds powers to freeze assets arbitrarily. Sun's tokens remain frozen as legal proceedings begin.

marsbit40 мин. назад

Justin Sun Sues Trump Family: What $75 Million Bought Was Only a Blacklist

marsbit40 мин. назад

$500 to Buy OpenAI Stock: Silicon Valley's Most Respectable Liquidity Invitation

Silicon Valley's largest venture capital platform, AngelList, has launched a new fund called USVC, allowing U.S. retail investors to buy into high-profile AI companies like OpenAI, Anthropic, and xAI with a minimum investment of $500—no accredited investor status required. Promoted by AngelList co-founder Naval Ravikant, the fund is framed as an opportunity for ordinary people to access high-growth private tech investments traditionally reserved for VCs. However, critics argue it functions more like an exit vehicle for early insiders. USVC acquires shares not through primary rounds but largely via secondary transactions—purchasing stakes from early investors, VC funds, and employees looking to cash out at peak valuations. With companies like xAI heavily weighted in the portfolio, the fund effectively channels retail money into providing liquidity for insiders who entered at much lower valuations. The fund’s structure raises concerns: shares are illiquid, with no secondary market, and buybacks are limited and discretionary. The actual annual fee reaches 3.61%, far above the advertised 1% management fee. This model parallels the "low float, high fully diluted valuation" strategy seen in crypto, where early investors profit by selling to latecomers at inflated prices. The timing—alongside similar moves by platforms like Robinhood—suggests that Silicon Valley’s sudden interest in retail inclusion may be less about democratizing access and more about securing exits for insiders.

marsbit1 ч. назад

$500 to Buy OpenAI Stock: Silicon Valley's Most Respectable Liquidity Invitation

marsbit1 ч. назад

Торговля

Спот
Фьючерсы
活动图片