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This week in AI updates: GitHub Copilot SDK, Claude’s new constitution, and more (January 23, 2026)

GitHub Copilot SDK now in technical preview

The SDK allows developers to embed agentic capabilities into their applications using the same execution loop used by the GitHub Copilot CLI. The SDK repository includes setup instructions, starter examples, and SDK references for all of the supported languages.

GitHub recommends starting by defining a single task, such as updating files or running a command, and letting Copilot plan and execute steps while the application supplies domain-specific tools and constraints.

Anthropic drafts new constitution for Claude models

The constitution is Anthropic’s vision for Claude’s values and behavior. The main sections in this updated version include specifications related to helpfulness, ethics, safety, nature, and guidelines for how to handle specific issues, like medical advice or cybersecurity requests.

“The constitution is a crucial part of our model training process, and its content directly shapes Claude’s behavior. Training models is a difficult task, and Claude’s outputs might not always adhere to the constitution’s ideals. But we think that the way the new constitution is written—with a thorough explanation of our intentions and the reasons behind them—makes it more likely to cultivate good values during training,” Anthropic wrote.

OpenAI adds age prediction to ChatGPT

The company announced that it will be using age prediction technology on ChatGPT consumer plans to determine if a user is under 18.

“Age prediction builds on protections already in place. Teens who tell us they are under 18 when they sign up automatically receive additional safeguards to reduce exposure to sensitive or potentially harmful content. This also enables us to treat adults like adults and use our tools in the way that they want, within the bounds of safety,” OpenAI wrote in a post.

GitLab’s Duo Agent Platform is now generally available

GitLab has made its Duo Agent Platform generally available, providing development teams with agentic AI automation that has access to an organization’s full context, standards, and guardrails.

The GA release includes Agentic Chat, providing context-aware assistance throughout the GitLab platform. Agentic Chat builds on the previously released Duo Chat, and brings in context from issues, merge requests, pipelines, security findings, and more, and can perform actions on a developer’s behalf.

For example, in the Web UI, Agentic Chat can create issues, epics, merge requests, and highlight key findings and create actionable guidance based on organizational context. Additionally, in the IDE, it can generate code, configurations, and infrastructure-as-code, as well as fix bugs, generate texts, and produce documentation.

Other ways Agentic Chat can be used are helping developers understand, configure, or troubleshoot CI/CD pipelines or create new ones, and on the security front, it can explain vulnerabilities, help with issue prioritization, and recommend fixes.

Codenotary updates its free SBOM scanning tool with capabilities that better support AI apps

Codenotary is adding new capabilities to its SBOM.sh service, which provides free analysis of software bills of materials (SBOMs).

According to the company, the updates were made in consideration of AI applications, and the tool now treats datasets as software supply chain artifacts.

“Traditional SBOM tools were built for an earlier era – focusing primarily on source code to improve visibility into the software supply chain,” said Moshe Bar, CEO and co-founder of Codenotary. “Security teams are swimming in SBOMs, but they’re not getting the actionable clarity they need — especially as AI transforms software with AI applications are built on datasets which are entirely ignored by traditional SBOMs.”

Testlio launches new AI-powered QA analysis solution

Testlio has announced the release of a new AI-driven QA analysis solution called LeoInsights.

The new platform is powered by the company’s intelligence layer LeoAI Engine, which was trained on 13 years of testing data, 2.6+ million test cases, and 600,000+ devices.

It can provide executive summaries featuring key changes, emerging risks, and critical issues, simplifying multiple QA reports into one that can be shared with leaders.

LeoInsights also offers a value calculator that quantifies efficiency gains, cost savings, and quality impact, helping QA teams better demonstrate their value to leadership. The calculator can aggregate data across workspaces, do scenario modeling with adjustable inputs, and generate PDFs that can be shared with executives for budgeting and investment discussions.

New Relic adds monitoring for ChatGPT apps

New Relic customers will now be able to monitor their custom ChatGPT apps to ensure they’re delivering the intended performance, reliability, and user experience.

“Bringing business services into the natural flow of a ChatGPT conversation is a powerful, intuitive, and revenue-generating strategy,” said Brian Emerson, chief product officer of New Relic. “But once your carefully crafted application instantiates inside ChatGPT, it traditionally enters a black box where standard browser monitoring tools can fail.”

The company went on to explain that when an app is rendered in a conversation, developers can’t see things like layout shifts or broken buttons. Additionally, security headers, content security policies, i-frame sandbox rules, and limitations on client-side storage can hide important performance and user experience data.

The post This week in AI updates: GitHub Copilot SDK, Claude’s new constitution, and more (January 23, 2026) appeared first on SD Times.



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