Enabling Enterprise Agility with Low-Code/No-Code, AI, and Platforms

In Enabling Enterprise Agility with Low-Code/No-Code, AI, and Platforms, Futurum Research explores how enterprises are modernizing application development by combining LCNC tools, AI-powered development, and platform engineering. The brief highlights why governance, hybrid cloud, and automation are essential to scaling innovation safely and how IBM’s approach helps organizations operationalize agility across the full application lifecycle.
Harness Incident Agent: Is DevOps Now The AI Engineers of Software Delivery?

Mitch Ashley, VP & Practice Lead, Software Lifecycle Engineering at Futurum, analyzes Harness’s introduction of the Human-Aware Change Agent and what it signals about AI agents emerging across software delivery, incident response, and operations through 2026.
AI Overtakes Security and Traditional Development as Primary Driver for Software Delivery Acceleration, According to New Futurum Research

Mitch Ashley, VP of Software Lifecycle Engineering at Futurum, reveals that AI investment has overtaken hiring as the top driver for software acceleration, with 40% of leaders prioritizing GenAI compared to just 23% for headcount expansion.
GitLab’s Salvo in the Agent Control Plane Race

Mitch Ashley, VP and Practice Lead, Software Lifecycle Delivery at Futurum, analyzes how GitLab’s GA Duo Agent Platform positions the DevSecOps platform as the place where agent-driven delivery is controlled, audited, and trusted at scale.
Dynatrace Brings Feature Management Into the Observability Control Plane

Mitch Ashley, VP and Practice Lead for Software Lifecycle Engineering at Futurum, analyzes how Dynatrace’s move to native feature management inside observability enables agent-driven delivery, tighter release control, and runtime governance.
Can Red Hat and NVIDIA Remove the Friction Slowing AI Deployments?

Mitch Ashley, VP and Practice Lead for Software Lifecycle Engineering at Futurum, analyzes Red Hat and NVIDIA’s expanded collaboration around the Rubin platform and RHEL for NVIDIA, examining how Day 0 support aims to reduce AI deployment friction and accelerate enterprise AI systems to production.
5 Reasons Snowflake Acquiring Observe Sets the Tone For 2026

Mitch Ashley, VP and Practice Lead of Software Lifecycle Engineering at Futurum, examines how Snowflake’s acquisition of Observe signals a shift toward AI observability platforms and why this move reshapes competition, data strategy, and platform control in 2026.
Karpathy’s Thread Signals AI-Driven Development Breakpoint

Mitch Ashley, VP and Practice Lead for Software Lifecycle Engineering at Futurum, examines why industry researcher Andrej Karpathy’s X thread signals a breakpoint in AI-driven software development and what it means for developers and platform vendors navigating new operating models.
2026: AI is a Reality in Software Development

Mitch Ashley, VP and Practice, Software Lifecycle Engineering at Futurum, shares his insights on research showing AI is increasingly embedded across the SDLC and DevOps, with 2026 emphasizing observability, security, behavior control, and governance.
FuturumWatch Agentic AI Needs the Agentic AI Foundation

Mitch Ashley, VP and Practice Lead at Futurum, explains why the new Agentic AI Foundation is becoming essential infrastructure for scalable, interoperable agentic systems and what it means for vendors and practitioners.
Five Key Reasons Why Confluent Is Strategic To IBM

Brad Shimmin and Mitch Ashley at Futurum, share their insights on IBM’s $11B acquisition of Confluent. This bold move signals a strategic pivot, betting that real-time “data in motion” is the essential nervous system for enterprise AI and hybrid cloud.
Platform Engineers Critical To AI Adoption In 2026

Mitch Ashley, VP and Practice Lead for Software Lifecycle Engineering at Futurum, shares insights on why platform engineers will be central to 2026 AI adoption and what organizations must prepare for as agentic development accelerates.
