Rovo MCP Server Formalizes AI Access to Enterprise Work Data

Mitch Ashley, VP and Practice Lead at Futurum, shares his insights on Atlassian’s Rovo MCP Server GA and how it formalizes AI agent access to enterprise work data across Jira and Confluence under governed, first-party controls.
Is Entire’s Agent-Native Platform the Blueprint for Software Development?

Mitch Ashley, VP Practice Lead at Futurum, analyzes Entire’s $60M launch, rethinking software development for AI agents. Former GitHub CEO Thomas Dohmke’s platform captures agent context in Git, signaling that current developer tools will be replaced by AI-native systems.
Truth or Dare: What Can Claude Agent Teams And Developers Create Today?

Mitch Ashley, VP and Practice Lead, Software Lifecycle Engineering at Futurum, examines what Anthropic’s Claude agent teams reveal about AI-driven software development today, separating experience reports from externally credible capability and highlighting what developers must engineer to succeed.
Google Adds Deeper Context and Control for Agentic Developer Workflows

Mitch Ashley, VP and Practice Lead, Software Lifecycle Engineering at Futurum, examines how Google’s Developer Knowledge API and Gemini CLI hooks externalize agent context and governance, shaping production-ready AI development and raising the bar for trusted agentic workflows.
OpenAI Frontier: Close the Enterprise AI Opportunity Gap—or Widen It?

Futurum Research Analysts Mitch Ashley, Keith Kirkpatrick, Fernando Montenegro, Nick Patience, and Brad Shimmin examine OpenAI Frontier and whether enterprise AI agents can finally move from pilots to production. The analysis explores governance, trust, and the race to control the agent platform layer.
Agent-Driven Development – Two Paths, One Future

Mitch Ashley, VP Practice Lead at Futurum, examines how multi-agent execution and intent-first structuring form parallel paths toward agent-driven development, with OpenAI Codex establishing a baseline for multi-agent work.
Running Virtualization, Kubernetes, and AI at Scale

In this Market Report, Running Virtualization, Kubernetes, and AI at Scale, completed in partnership with Dell Technologies, Intel, and Red Hat, Futurum Research examines how enterprises can operate diverse platforms consistently at scale, with a focus on automation, lifecycle discipline, and infrastructure flexibility across virtualization, Kubernetes, and AI workloads.
AI Reaches 97% of Software Development Organizations

Mitch Ashley, VP Practice Lead for Software Lifecycle Engineering at Futurum, shares insights on how 97% of organizations now use AI in software development, validating the developer transformation from code authorship to agent-driven workflows.
100% AI-Generated Code: Can You Code Like Boris?

Mitch Ashley, VP Practice Lead at Futurum, examines whether developers can achieve 100% AI-generated code like Anthropic’s Boris Cherny, analyzing the gap between vendor demonstrations and peer-reviewed research showing 29% AI-generated Python with limited productivity gains.
Transparency Through Observability is Essential to AI Success

Mitch Ashley, VP and Practice Lead for Software Lifecycle Engineering at Futurum, explores why transparency through observability is essential for trusting and scaling AI-driven software delivery.
Dynatrace Perform 2026: Is Observability The New Agent OS?

Mitch Ashley, VP and Practice Lead at Futurum, shares insights on Dynatrace Perform 2026, examining how Dynatrace Intelligence and domain-specific agents signal the emergence of observability-led agent control planes.
SUSE Assists Customers With Digital Sovereignty Self-Assessment Framework

Mitch Ashley, VP and Practice Lead at Futurum, examines SUSE’s Cloud Sovereignty Framework Self-Assessment and what it signals about digital sovereignty shifting from policy intent to measurable, operational execution.
