“Generative AI is becoming as essential to the software development process as IDEs, testing, and DevOps automation tools. Engineers are learning the best uses of reasoning LLMs across a growing number of agentic, multi-step tasks. MCP servers extend the capabilities of development and automation tools vendors so they are now accessible by LLMs used in development.”

Mitch Ashley

Vice President & Practice Lead Software Lifecycle Engineering

Developers Engage AI to Augment Work

By the end of 2025, over 70% of software developers will use generative AI to augment development work, including code generation, completion, review, analysis, bug fixing, or unit tests. Of developers and DevOps engineers, 20% will use AI and open standards to automate tasks and basic workflows as the use of agentic AI expands to platform engineering.

  • AI Within CLIs and IDEs: This brings generative AI directly into the workflows of developers who frequently work across multiple interfaces to perform development work, configuration, and automation.
  • Reasoning-Capable LLMs: These are incrementally capable of taking on and agentically performing core multi-step development tasks, including code pull requests, environment setup, execution of unit tests, code translation, and documentation.
  • Larger Context Windows and Reasoning LLMs: These enable the understanding of codebases and technical documentation and aid developers in working across longer conversation windows and tasks.
  • Vendor MCP Servers: These servers, accessible via development tools, extend access to the services and tools across development and automation tools used by developers and platform engineers.
  • Agentic AI Automation of Development Tasks: These tasks include analyzing and validating requirements and product definition documents, code refactoring across multiple files, creating unit and some integration-level testing, and performing root cause analysis.
  • Automate and Monitor DevOps Tool Chains: Analyze log files and telemetry data across multiple tools and platforms to automate and monitor DevOps tool chains and critical continuous integration/continuous deployment (CI/CD) processes.
  • Analyze Full Codebases: This process identifies complex interdependencies between code, libraries, packages, and images.
  • Follow the Steps of a Code Plan: Apply multistep reasoning to ensure the proper execution of steps, effective error handling, and appropriate human intervention in cases of errors or unexpected results.
  • Treating Prompts as Code: Both prompts written by engineers and meta-prompts created by LLMs are treated as code to ensure they are captured, tracked, tested, version-controlled, and dependencies managed as these become an integral part of software development processes.

Mitch Ashley is Vice President and Practice Lead, Software Lifecycle Engineering for The Futurum Group. Mitch has over 30+ years of experience as an entrepreneur, industry analyst, product development and IT leader, with expertise in software engineering, cybersecurity, DevOps, DevSecOps, cloud, and AI. Mitch comes to The Futurum Group through the acquisition of Techstrong Group (devops.comsecurityboulevard.com, and techstrong.tv), where he serves as CTO and founder of Techstrong Research.

As a Chief Technology Advisor, CTO, CIO, and head of engineering, Mitch led the creation of award-winning cybersecurity products utilized in the private and public sectors, including the U.S. Department of Defense and all military branches. Mitch also led managed PKI services for broadband, Wi-Fi, IoT, energy management and 5G industries, product certification test labs, an online SaaS (93m transactions annually), the development of video-on-demand and Internet cable services, and a national broadband network. He began his career creating large banking and telecom applications and building AI expert systems.

Having led his first of three introductions of DevOps in 2014 and the modernization of three IT organizations, Mitch shares his experiences as an analyst, keynote and conference speaker, panelist, host, moderator, and expert interviewer. His talks cover some of the most in-demand topics, including CIO/CTO leadership, product and software development, DevOps, DevSecOps, containerization, container orchestration, AI/ML/GenAI, platform engineering, SRE, and cybersecurity. He publishes his research on futurumgroup.com/ and TechstrongResearch.com/resources. He hosts multiple award-winning video and podcast series, including DevOps Unbound, CISO Talk, and Techstrong Gang.

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