Jocelyn Sexton | June 16, 2026
The Engine Room of Agentic AI: Architecture, Orchestration and the Illusion of “Clean Data”
(This is Part 2 of a three-part series exploring what it takes to bring true agentic AI systems into enterprise production. In Part 1, we broke down the PoC-to-Production Engineering Gap, using the commercial aviation autopilot analogy to show why 88% of AI pilots stall and why true ROI requires rewriting the operating model rather […]
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Jocelyn Sexton | June 15, 2026
Beyond the Hype: The Operational Reality of Moving from AI Pilots to Autonomous Engineering
(This is Part 1 of a three-part series exploring what it takes to bring true agentic AI systems into enterprise production.) In early June, our team from Growth Acceleration Partners hosted an executive roundtable at the Chief AI Officer (CAIO) Summit in New York City. The room was packed with CAIOs, CTOs and senior technology […]
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Growth Acceleration Partners | June 15, 2026
AI Cost Optimization and the Problem of Runaway Token Costs
For much of the AI boom, the conversation focused on capability. The question was what AI could do, where it could be applied and how quickly it could deliver value. Now, attention is being drawn to a different question: what does it cost to run AI at scale? As models grow more autonomous, agentic systems […]
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Growth Acceleration Partners | June 15, 2026
A Field Guide to Managing AI Code Quality in Agentic Workflows
AI has become a standard part of how software gets built. From startups to Fortune 500 companies, we’re seeing more code being produced (with AI assistance) than at any point in software history. What began as an experimental productivity tool has become embedded in day-to-day development workflows across the industry. The numbers reflect just how […]
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Joyce Durst | May 20, 2026
Governance Compliance in the Age of Agentic AI Engineering
Most conversations about AI in software development tend to center on what these systems can do. How many lines of code can they write in a day? How quickly can they resolve tickets? How much faster can a sprint move when agents handle the routine work? These are all practical considerations worth tackling. However, what […]
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Paul Brownell | May 20, 2026
Human + AI in Software Development: Why the Engineer Still Matters
“It’s such a weird time to be a junior software engineer. I’m basically a proxy to Claude Code. My manager tells me what to do, and I tell Claude to do it.” — Anonymous software engineer, San Francisco That was an anonymous software engineer at a large San Francisco tech company, speaking to a reporter […]
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Paul Brownell | May 20, 2026
AI Coding Agents Explained: Benefits, Risks, and Best Practices
According to Anthropic’s 2026 Agentic Coding Trends Report, developers now use AI in roughly 60% of their work, but report being able to fully delegate only between 0% and 20% of their tasks. What’s more, about a quarter of AI-assisted work consists of tasks that wouldn’t have been attempted at all without AI in the […]
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Michael Labate | May 20, 2026
Is Autonomous Software Engineering the Next Big Thing?
In March 2024, a startup called Cognition Labs released a short demo video showing an AI system called Devin receiving a software task, breaking it into steps, writing code, running tests, hitting errors, researching solutions on its own, and producing a working result without a human touching the keyboard. The company described it as the […]
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Jocelyn Sexton | May 18, 2026
Why Enterprise AI Agents Still Depend on Legacy Modernization and Human-in-the-Loop AI
If you’ve been watching the tickers lately, you’ve probably witnessed the playing out of SaaS valuations. Giants like ServiceNow have watched their stocks take sudden, double-digit dips, contributing to steep year-to-date drawdowns. ServiceNow took a brutal 17% hit in a single session following its Q1 2026 earnings, compounding a steep 33% slide since the start […]
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Paul Brownell | May 6, 2026
A Guide to Enterprise software stack repricing in the age of AI agents
On April 23, 2026, ServiceNow had one of its worst trading days, the morning after its Q1 earnings release. Shares fell roughly 17–18% in a single session, triggering a wave of analyst downgrades and wiping tens of billions from its market value in hours. The convenient explanation, amplified by CNBC and echoed across the trade […]
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