PRESS RELEASE

Who Wins The Agentic AI Software Development Race?

Analyst(s): Mitch Ashley
Publication Date: March 12, 2025

The move to agentic AI in software development advances quickly via a rapid succession of announcements by Anthropic, Amazon, GitHub, and Microsoft. AI-powered developer tools are quickly changing how software developers work with, create, manage, and develop software using IDE plug-ins, natural language, new AI models, agents, and agentic AI coding.

Key Points:

  • Technology vendors are racing to establish their foothold in agentic AI agent software development.
  • Anthropic introduced the Claude 3.7 Sonnet AI model with significant improvements for coding and front-end development, alongside a research preview of Claude Code, an agentic coding tool leveraging advanced reasoning.
  • GitHub launched Copilot Edit Mode into general availability and announced a research preview of “Project Padawan,” an AI agent designed to automate coding tasks.
  • This new wave of agentic AI development tools represents a shift from AI-augmented development to agentic AI agent coding and AI-first development paradigms.

Overview:

AI is rapidly transforming software development, shifting from merely assisting developers to autonomously handling increasingly complex development tasks. This evolution is driven by advancements in agentic AI, which perform multi-step development tasks with minimal human intervention. February 2025 saw major announcements from Anthropic, GitHub, and Amazon, each unveiling new agentic AI capabilities designed to streamline software creation, testing, and deployment. As agentic AI innovations are introduced, organizations must prepare for fundamental shifts in how software is built and maintained.

GitHub’s Copilot Edit Mode, now generally available, enhances developer productivity by refactoring code, applying multi-file edits, and making intelligent code suggestions. More notably, GitHub announced a research preview of “Project Padawan,” an autonomous AI agent capable of iterating on tasks such as issue resolution, pull request workflows, and error analysis. Anthropic announced Claude 3.7 Sonnet, which powers Claude Code, a research preview of an agentic AI CLI development tool that executes coding tasks through natural language prompts rather than traditional IDE-based interactions. Amazon followed with enhancements to Amazon Q Developer’s CLI agent, using Claude 3.7 Sonnet to offer its own advanced, reasoning-driven development capabilities.

Futurum’s IQ DevOps and Application Development 2025 decision-maker research survey data found that 41% of organizations are using AI technologies in software development, and 43% of platform engineering teams are using AI-assisted tools and task agents. While that progress may seem quick to some, business leaders’ strategies and expectations of AI’s impact continue to mount.

Who Wins The Agentic AI Software Development Race

Mitch Ashley, VP and Practice Lead of DevOps and AppDev at Futurum said, “Software organizations that embrace agentic AI and AI-first development paradigms early will be best positioned to capitalize on its benefits, from increased developer productivity to faster software delivery.”

“This new wave of agentic AI development tools represents a shift from AI-augmented tools, which supports developers in writing code, to agentic AI, which actively performs multi-step development tasks,” adds Mitch Ashley.

Unlike AI-augmented IDE extensions, agentic AI tools such as Claude Code operate independently, executing complex, multi-step coding operations based on developer instructions. Other emerging AI-driven IDEs, such as Cursor and Codeium Windsurfer, further implement the agentic AI development paradigm using their own IDEs.

With AI development accelerating, technology vendors are racing to establish dominance. Companies such as Microsoft, Google, Salesforce, and Amazon hold a natural advantage due to their extensive ecosystems and existing developer and end-user communities. These industry giants are embedding AI capabilities into their platforms, enabling widespread adoption. However, agentic AI development environments such as Cursor and Claude Code could disrupt conventional software workflows by offering an intuitive, natural language-driven development experience.

Organizations that want to stay ahead must actively explore these AI-driven innovations. Monitoring advancements in AI reasoning models from Anthropic, OpenAI, Google DeepMind, and Microsoft will be crucial. Engaging with research previews such as Claude Code and GitHub’s “Project Padawan” will provide valuable insights into the future of AI-driven developments. As “vibe coding” and AI-first software development gain traction, software organizations must consider their paths to agentic AI development strategies.

The full report is available via subscription to the DevOps & Application Development IQ service from Futurum Intelligence—click here for inquiry and access.

See the complete product announcements and posts for Amazon, Anthropic, GitHub, and Microsoft.

Futurum clients can read more about it in the DevOps & Application Development Portal. Nonclients can learn more here: DevOps & Application Development Practice.

About the Futurum DevOps & Application Development Practice

The Futurum DevOps & Application Development Practice provides actionable, objective insights for market leaders and their teams so they can respond to emerging opportunities and innovate. Public access to our coverage can be seen here. Follow news and updates from the Futurum Practice on LinkedIn and X. Visit the Futurum Newsroom for more information and insights.

Author Information

Mitch Ashley

Mitch Ashley is VP and Practice Lead for the CIO & Technology Buyers and Software Lifecycle Engineering practices at The Futurum Group. A multi-time CIO and CTO with 30+ years leading technical organizations, Mitch built and operated production systems spanning cybersecurity for the U.S. Department of Defense, PKI services for the broadband and 5G industries, SaaS platforms, large-scale telecom and banking systems, and a national broadband network. His work with AI began early, developing expert systems that diagnosed and repaired complex mainframe environments. That operator foundation grounds his analysis in operational consequence, covering the technology buyer's world of software engineering, cybersecurity, DevOps, cloud, and AI.

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Benjamin Brown, VP Custom Research, Futurum Research

Benjamin Brown

VP, Custom Research · The Futurum Group

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