Platform Engineering – Insights

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Vertex Agility

May 22, 2026

AI Is Writing More of Your Code Than Ever. Your Process Hasn’t Caught Up.

A CloudBees survey of more than 200 enterprise technology leaders found that 81% reported an increase in production issues linked to AI-generated code, even as 92% remained confident their code was production-ready before shipping. This article examines the verification gap created when AI generates code faster than teams can validate it, the rising and largely untracked costs that follow, the absence of clear governance ownership, and the practical steps engineering leaders can take to close the gap.

Apr 24, 2026

Your Data Team Is Shipping Faster Than It Can Be Trusted. That’s a Problem.

dbt Labs’ 2026 State of Analytics Engineering Report found trust in data has surged to 83% as the top organisational priority — the steepest single-year rise ever recorded — driven by 71% of data professionals concerned about incorrect AI outputs reaching stakeholders. With only 7% of enterprises saying their data is completely AI-ready and Gartner finding organisations that see returns invest four times more in data foundations, this article examines the acceleration-to-governance gap and what agent-ready data infrastructure actually requires.

Apr 22, 2026

78% of Executives Know They Need to Reinvent Their Operating Model for Agentic AI. Most Aren’t Ready to.

UiPath’s 2026 report found 78% of executives believe operating model reinvention is essential for agentic AI. McKinsey found 80% are seeing no bottom-line impact. This article examines the structural, foundational, and governance barriers creating that gap — and what the organisations pulling ahead are doing differently.

Apr 17, 2026

The Architecture Tax: Is Agentic AI Scaling Your Innovation or Your Chaos?

With the launch of C3 Code and Anthropic’s Project Glasswing, Agentic AI is here. Learn why modular software architecture is a non-negotiable prerequisite to safely scale autonomous AI agents in the enterprise.

Mar 18, 2026

AI Doesn’t Remove Constraints – It Exposes Them

AI is often touted as a 10x productivity booster, but without addressing underlying delivery bottlenecks, it simply creates faster queues. Learn how to apply the Theory of Constraints to engineering AI adoption.

Mar 12, 2026

AI Doesn’t Transform Organisations By Itself. People and Platforms Do.

Many organisations struggle to convert AI experiments into measurable outcomes. Discover why AI transformation is a delivery challenge that requires modern engineering platforms, integrated teams, and a shift from isolated projects to decision platforms.

Sep 30, 2025

Case Study: Scaling from an MVP to a Production-Ready Platform

A leading trades-platform’s MVP was transformed into a production-ready platform—with quoting, invoicing, scheduling, mobile support, integrations and AI pipelines—all in five months.

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