# Tavily Search Results: Geneva

**Query:** latest updates agentic AI coding  
**Topic:** general  
**Results:** 5  
**Date:** 2025-12-12 18:51:17

---

## 1. The agentic reality check: Preparing for a silicon-based workforce

**URL:** [https://www.deloitte.com/us/en/insights/topics/technology-management/tech-trends/2026/agentic-ai-strategy.html](https://www.deloitte.com/us/en/insights/topics/technology-management/tech-trends/2026/agentic-ai-strategy.html)  
**Score:** 0.6258

### Summary

17.   AgentCommunicationProtocol.dev, “Welcome,” accessed Nov. 6, 2025.

18.   Saad Merchant, “ACP: Future of offline AI agent collaboration,” Alumio, Oct. 24, 2025.

19.   Kearney, “FinOps for AI and AI for FinOps,” Jan. 28, 2025.

20.   Jake Latimer, “Will AI be taxed? The debate over AI-powered businesses: The 2025 tech-tax tussle,”_Medium_, March 13, 2025.

21.   Ken Huang, “Agentic AI identity management approach,” Cloud Security Alliance, March 11, 2025. [...] Share)
       linkedin
       twitter
       facebook

   Print; "Print")

### Endnotes

1.   The Henry Ford, “Henry Ford quotations,” accessed Nov. 6, 2025.

2.   Gartner, Inc., “Gartner predicts over 40% of agentic AI projects will be canceled by end of 2027,” press release, June 25, 2025.

3.   2025 Deloitte Emerging Technology Trends in the Enterprise Survey, publication in process.

4.   Gartner, Inc., “Gartner predicts over 40% of agentic AI projects will be canceled by end of 2027.” [...] 5.   2025 Tech Value Survey by Deloitte Center for Integrated Research, fielded June 2025.

6.   Gartner, Inc., “Gartner predicts over 40% of agentic AI projects will be canceled by end of 2027.”

7.   Bruce Gil, “‘Workslop’: AI-generated work content is slowing everything down,” Gizmodo, Sept. 23, 2025.

8.   Deloitte On Cloud podcast interview with Brent Collins, vice president of AI strategy, Intel, Aug. 27, 2025

### Full Content

Agentic AI strategy | Deloitte Insights

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---

## 2. OpenAI co-founds the Agentic AI Foundation under the Linux ...

**URL:** [https://openai.com/index/agentic-ai-foundation/](https://openai.com/index/agentic-ai-foundation/)  
**Score:** 0.5940

### Summary

Developers are rapidly adopting AI to build more capable agentic systems—from coding assistants to workflow automation and customer service agents. In 2025, these systems have begun to move from prototypes into tools that handle real work in business and consumer settings. [...] December 9, 2025

# OpenAI co-founds the Agentic AI Foundation under the Linux Foundation

AAIF aims to advance open-source agentic AI with the donation of standards including OpenAI’s AGENTS.md [...] We’ve contributed core building blocks including the Agents SDK⁠(opens in a new window), the Apps SDK⁠(opens in a new window), and the Agentic Commerce Protocol⁠(opens in a new window), as well as open-source efforts like our gpt-oss models⁠ and the Codex CLI⁠(opens in a new window). Codex alone has now been used to help merge more than two million public pull requests on GitHub.

### Full Content

December 9, 2025

# OpenAI co-founds the Agentic AI Foundation under the Linux Foundation

AAIF aims to advance open-source agentic AI with the donation of standards including OpenAI’s AGENTS.md

Today, OpenAI is co-founding the [Agentic AI Foundation (AAIF)⁠(opens in a new window)](https://aaif.io/) under the Linux Foundation, alongside Anthropic and Block, and with the support of Google, Microsoft, AWS, Bloomberg, and Cloudflare. The AAIF is designed to provide neutral stewardship for open, interoperable infrastructure as agentic AI systems move from experimentation into real-world production.

As part of this effort, we’re contributing [AGENTS.md⁠(opens in a new window)](http://agents.md)—a simple, open format for providing agents with project-specific instructions and context—to the foundation to ensure long-term support and adoption across the community.

#### Why Open Standards Matter

Developers are rapidly adopting AI to build more capable agentic systems—from coding assistants to workflow automation and customer service agents. In 2025, these systems have begun to move from prototypes into tools that handle real work in business and consumer settings.

We believe the transition from experimental agents to real-world systems will best work at scale if there are open standards that help make them interoperable. Open standards make agents safer, easier to build, and more portable across tools and platforms—and help prevent the ecosystem from fragmenting as this new category matures.

As more agents begin handling real responsibility, the cost of fragmentation increases. Without common conventions and neutral governance, agent development risks diverging into incompatible silos that limit portability, safety, and progress.

AAIF was created to address this moment.

#### Building an Open Ecosystem

Over the past year, OpenAI has made significant contributions to building agentic infrastructure in the open—working alongside developers, researchers, and other companies across the ecosystem to prove that open protocols can work in practice.

We’ve contributed core building blocks including [the Agents SDK⁠(opens in a new window)](https://platform.openai.com/docs/guides/agents-sdk), [the Apps SDK⁠(opens in a new window)](https://developers.openai.com/apps-sdk/), and [the Agentic Commerce Protocol⁠(opens in a new window)](https://developers.openai.com/commerce/), as well as open-source efforts like our [gpt-oss models⁠](/index/introducing-gpt-oss/) and [the Codex CLI⁠(opens in a new window)](https://developers.openai.com/codex/cli/). Codex alone has now been used to help merge more than two million public pull requests on GitHub.

We’ve also been early adopters and core contributors to the Model Context Protocol (MCP), incorporating it as the foundation for [connectors⁠(opens in a new window)](https://chatgpt.com/features/connectors/?openaicom-did=6c6159fc-2dac-4bf0-9cb6-505f703b717d&openaicom_referred=true) and [apps in ChatGPT⁠](/index/introducing-apps-in-chatgpt/). Just last week, we announced a collaboration with Anthropic and MCP-UI to extend the Apps SDK to all MCP developers through [MCP Apps⁠(opens in a new window)](http://blog.modelcontextprotocol.io/posts/2025-11-21-mcp-apps/)—making it easier to build interactive, agent-powered experiences across platforms.

These efforts laid the groundwork for AAIF by demonstrating that open, interoperable infrastructure can gain real adoption across tools and communities.

#### Donating [AGENTS.md⁠(opens in a new window)](http://agents.md)

AGENTS.md began as a practical solution to a familiar problem. Codex needed a predictable way to find project-specific instructions—such as coding conventions, build steps, and testing requirements—to help agents work safely and effectively in a codebase.

With [AGENTS.md⁠(opens in a new window)](http://agents.md), we introduced a lightweight Markdown file designed to live alongside [README.md⁠(opens in a new window)](http://readme.md). It offers a simple, interoperable standard that gives AI coding agents a consistent source of project-specific guidance needed to operate reliably across different repositories and toolchains. This markdown-based convention makes agent behavior far more predictable across diverse repositories and build systems.

What began as an internal solution quickly resonated across the ecosystem. Since its release in August 2025, AGENTS.md has been adopted by more than 60,000 open-source projects and agent frameworks including Amp, Codex, Cursor, Devin, Factory, Gemini CLI, Github Copilot, Jules and VS Code among others—reflecting growing alignment around shared, vendor-neutral conventions as agents enter production.

Contributing AGENTS.md to the AAIF ensures that:

In addition to [AGENTS.md⁠(opens in a new window)](http://agents.md), the AAIF co-founders will each be contributing a project to the foundation: Anthropic’s [Model Context Protocol (MCP)⁠(opens in a new window)](https://github.com/modelcon

*[Content truncated...]*

---

## 3. Microsoft Ignite 2025 Recap: Agentic AI, Foundry, and Azure ...

**URL:** [https://azure.microsoft.com/en-us/blog/actioning-agentic-ai-5-ways-to-build-with-news-from-microsoft-ignite-2025/](https://azure.microsoft.com/en-us/blog/actioning-agentic-ai-5-ways-to-build-with-news-from-microsoft-ignite-2025/)  
**Score:** 0.5721

### Summary

Smart takes on the news:

   Making Sense of Microsoft Ignite 2025 for Azure and AI Architects
   How Azure Copilot’s New Agents Automate DevOps and SecOps
   Azure Update – IGNITE SPECIAL – 21st November 2025
   Microsoft’s Azure Copilot to support agentic cloud operations at scale with new AI agents
   Azure Copilot Agents Launch in Private Preview

Image 6: A group of people sitting in chairs.
5. Azure hardware: Limitless power and security [...] Learn
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5.   Actioning agentic AI: 5 ways to build with news from Microsoft Ignite 2025

 Search for:  Submit search

   Published Dec 10, 2025
    6 min read 

Actioning agentic AI: 5 ways to build with news from Microsoft Ignite 2025 [...] Performance is everything when you’re training large models or running inference at scale and that’s why the latest hardware museum behind our ‘Frontier Street’ activation at Ignite captured the community’s imagination.

### Full Content

Microsoft Ignite 2025 Recap: Agentic AI, Foundry, and Azure Innovations

===============

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---

## 4. FDA Expands Artificial Intelligence Capabilities with Agentic AI ...

**URL:** [https://www.fda.gov/news-events/press-announcements/fda-expands-artificial-intelligence-capabilities-agentic-ai-deployment](https://www.fda.gov/news-events/press-announcements/fda-expands-artificial-intelligence-capabilities-agentic-ai-deployment)  
**Score:** 0.5609

### Summary

Today’s agentic AI deployment will enable FDA staff to further advance the use of AI to assist with more complex tasks, such as meeting management, pre-market reviews, review validation, post-market surveillance, inspections and compliance and administrative functions.

As part of the agentic AI deployment, the agency is launching a two-month Agentic AI Challenge for staff to build Agentic AI solutions and demonstrate them at the FDA Scientific Computing Day in January 2026. [...] # FDA Expands Artificial Intelligence Capabilities with Agentic AI Deployment

More Press Announcements

The U.S. Food and Drug Administration today announced the deployment of agentic AI capabilities for all agency employees. Agentic AI capabilities will enable the creation of more complex AI workflows — harnessing various AI models — to assist with multi-step tasks. [...] The FDA, an agency within the U.S. Department of Health and Human Services, protects the public health by assuring the safety, effectiveness, and security of human and veterinary drugs, vaccines and other biological products for human use, and medical devices. The agency also is responsible for the safety and security of our nation’s food supply, cosmetics, dietary supplements, radiation-emitting electronic products, and for regulating tobacco products.

## Content current as of:

12/01/2025

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# FDA Expands Artificial Intelligence Capabilities with Agentic AI Deployment

[More Press Announcements](/news-events/newsroom/press-announcements)

The U.S. Food and Drug Administration today announced the deployment of agentic AI capabilities for all agency employees. Agentic AI capabilities will enable the creation of more complex AI workflows — harnessing various AI models — to assist with multi-step tasks.

Agentic AI refers to advanced artificial intelligence systems designed to achieve specific goals by planning, reasoning, and executing multi-step actions. These systems incorporate built-in guidelines — including human oversight —to ensure reliable outcomes. The tool is entirely optional for FDA staff and is used voluntarily.

“We are diligently expanding our use of AI to put the best possible tools in the hands of our reviewers, scientists and investigators,” **said FDA Commissioner Marty Makary, M.D., M.P.H.** “There has never been a better moment in agency history to modernize with tools that can radically improve our ability to accelerate more cures and meaningful treatments.”

In May, the agency deployed an LLM-based tool, Elsa, voluntarily used by more than 70% of staff, according to internal agency data. Since that initial deployment, FDA program teams have driven frequent modifications to better integrate Elsa into workflows.

Today’s agentic AI deployment will enable FDA staff to further advance the use of AI to assist with more complex tasks, such as meeting management, pre-market reviews, review validation, post-market surveillance, inspections and compliance and administrative functions.

As part of the agentic AI deployment, the agency is launching a two-month Agentic AI Challenge for staff to build Agentic AI solutions and demonstrate them at the FDA Scientific Computing Day in January 2026.

“FDA's talented reviewers have been creative and proactive in deploying AI capabilities — agentic AI will give them a powerful tool to streamline their work and help them ensure the safety and efficacy of regulated products,” **said Chief AI Officer Jeremy Walsh**.

Built within a high-security GovCloud environment, the models do not train on input data nor any data submitted by regulated industry, safeguarding the sensitive research and data handled by FDA staff. The deployment is another major step in the agency’s multifaceted plan to embed AI more deeply into workflows and achieve unprecedented operational efficiency.

**Media:**  
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The FDA, an agency within the U.S. Department of Health and Human Services, protects the public health by assuring the safety, effectiveness, and security of human and veterinary drugs, vaccines and other biological products for human use, and medical devices. The agency also is responsible for the safety and security of our nation’s food supply, cosmetics, dietary supplements, radiation-emitting electronic products, and for regulating tobacco products.

## Content current as of:

12/01/2025

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## 5. Agentic Coding: What it is and How to Get Started - CBT Nuggets

**URL:** [https://www.cbtnuggets.com/blog/technology/devops/agentic-coding](https://www.cbtnuggets.com/blog/technology/devops/agentic-coding)  
**Score:** 0.4870

### Summary

Conclusion

Agentic coding marks a significant evolution in how developers work with AI, transforming assistants into collaborators. Whether you’re a new developer or a technical lead, understanding this shift is key to staying ahead. Get started today with CBT Nuggets’Agentic Coding course to learn how to integrate AI-driven agents into your workflow.

Ready to try it yourself?Start your free 7-day trial and begin exploring how agentic coding can transform your development process.

### Full Content

Agentic Coding: What it is and How to Get Started

===============

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Technology / DevOps
Agentic Coding: What it is and How to Get Started
=================================================

by [Erik Mikac](https://www.cbtnuggets.com/erik-mikac)

![Image 4: Agentic Coding-Blog](https://images.ctfassets.net/aoyx73g9h2pg/2WgfYLBwe9wWtRlUfj8DVi/a028705c8d4246920412865fe547ce5d/Agentic_Coding-Blog.jpg?w=3840&q=100)

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Published on November 20, 2025

**_Quick definition:_**_Agentic coding is the practice of using autonomous AI “coding agents” that can plan, write, test, and maintain code with minimal human prompting._

Software development is evolving at a pace where yesterday’s in

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