Tuesday, February 10, 2026

This week in AI updates: Claude Opus 4.6, GPT-5.3-Codex, and extra (February 6, 2026)

Anthropic launches Claude Opus 4.6

Claude Opus 4.6 is the newest model of the corporate’s strongest class of AI fashions. Anthropic says that this launch improves on Opus’ coding abilities, and it now plans extra fastidiously, sustains agent duties for longer, can run extra reliably in bigger codebases, and has higher code evaluate and debugging abilities, serving to it to extra successfully catch its personal errors.

Along with coding enhancements, Claude Opus 4.6 additionally options improved skills in duties like working monetary analyses, doing analysis, and utilizing and creating paperwork, spreadsheets, and shows.

It additionally includes a 1M context window (beta), which is a primary for Opus fashions, Anthropic stated.

OpenAI releases GPT-5.3-Codex

The newest model of OpenAI’s coding agent builds on the coding efficiency of the earlier launch in addition to the reasoning and data capabilities of GPT-5.2. It’s able to tackling long-running duties involving analysis, software use, and sophisticated execution.

OpenAI additionally famous that GPT-5.3-Codex is the corporate’s first mannequin that helped to create itself, because the workforce used early variations of it to troubleshoot coaching, handle deployment, and diagnose check outcomes and evaluations.

It’s now accessible via paid ChatGPT plans wherever Codex is enabled, together with the app, CLI, IDE extension, and internet, and API entry will probably be enabled shortly.

Google previews Developer Data API, MCP server that may make it simpler to entry docs for Google companies

The Developer Data API permits builders to look and retrieve documentation for Google’s companies in Markdown. This consists of documentation from firebase.google.com, developer.android.com, docs.cloud.google.com, and extra.

Google is re-indexing all of its documentation inside 24 hours of a service being up to date to make sure that builders can keep up-to-date with data associated to the newest releases.

Along with the Developer Data API, Google is releasing a associated MCP server to allow improvement groups to attach it to their IDEs and AI coding assistants. The corporate defined this will allow extra superior capabilities as builders are writing code, equivalent to with the ability to ask one of the simplest ways to implement push notifications in Firebase, verify the docs to seek out one of the simplest ways to repair a particular error, or examine two totally different companies for a specific use case.

Xcode 26.3 provides agentic coding help

Apple is enabling agentic coding inside Xcode within the newest model of the event platform (model 26.3).

Builders will now be capable to use Anthropic’s Claude Agent and OpenAI’s Codex straight in Xcode.

“With seamless entry to Claude Agent and Codex, builders can deliver the superior reasoning of those fashions straight into their app-building workflow. This connection combines the ability of those brokers with Xcode’s native capabilities to offer the perfect outcomes when creating for Apple platforms, giving builders the pliability to work with the mannequin that most closely fits their mission,” Apple wrote in an announcement.

Opsera introduces new DevOps brokers to handle AI-assisted coding points

Opsera is releasing a number of new brokers as part of its Agentic DevOps providing that proactively handle DevOps workflows in an try to handle a number of the bottlenecks launched by AI-assisted coding.

In response to a current report from the corporate, AI-assisted coding can velocity up metrics like Time-to-Pull Request or check cross charge, however it’s also topic to bottlenecks that sluggish supply down, equivalent to longer PR evaluate occasions. For instance, the corporate discovered that AI-assisted workflows had a 48-58% sooner common Time-to-Pull Request, however that AI-generated pull requests wait 4.6x as lengthy to be reviewed in comparison with human-written ones.

Opera additionally discovered that AI-generated code suffered from points like elevated code duplication (13.5% vs 10.5%) and safety vulnerabilities (15-18% extra) in comparison with human-written code.

Snowflake and OpenAI announce $200 million partnership

The two corporations will work on constructing personalized AI options for his or her joint clients. Moreover, OpenAI’s fashions will probably be natively accessible on Snowflake Cortex AI throughout the three main cloud suppliers, and also will be accessible via Snowflake Intelligence.

“By bringing OpenAI fashions to enterprise knowledge, Snowflake permits organizations to construct and deploy AI on prime of their most dear asset utilizing the safe, ruled platform they already belief,” stated Sridhar Ramaswamy, CEO of Snowflake. “Prospects can now harness all their enterprise data in Snowflake along with the world-class intelligence of OpenAI fashions, enabling them to construct AI brokers which might be highly effective, accountable, and reliable. Collectively, we’re setting a brand new normal for AI innovation, serving to companies remodel with confidence, whereas sustaining sturdy safety and compliance requirements.”

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