Joyce Durst | May 20, 2026
Compliance in the Age of Agentic 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 Design
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
After the SaaSpocalypse: A C-Suite Playbook for the Repriced Enterprise Stack
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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Jocelyn Sexton | April 29, 2026
The Velocity Trap: Why the Real AI Advantage Isn’t Speed. It’s Orchestration!
We’ve all seen the headlines. AI is supposedly coming for every job, every creative spark, and every decision-making process in the enterprise. Productivity is through the roof. Every executive team is racing to integrate “agentic” workflows into their tech stack. But after years of watching technology transform the workplace, we’re at a dangerous crossroads. Everyone […]
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Growth Acceleration Partners | April 27, 2026
Agentic Engineering vs. Vibe Coding: What’s the Difference?
On February 3, 2025, Andrej Karpathy, co-founder of OpenAI and former Director of AI at Tesla, posted on X about a new way of building software he had been experimenting with. Source: X He described a workflow where you “fully give in to the vibes, embrace exponentials, and forget that the code even exists.” In […]
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Growth Acceleration Partners | April 27, 2026
Why Over 40% of Agentic AI Projects Never Make It to Production
Most companies have a quiet graveyard of AI projects. Somewhere in some forgotten folder, the decks for a “smart customer assistant,” an “intelligent contract analyzer,” or an “autonomous support agent” are still sitting there, once promising, now abandoned after the pilot phase. This is not anecdotal. MIT’s Project NANDA found that despite tens of billions […]
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Growth Acceleration Partners | April 20, 2026
Soft Skills for Engineers: Why They Define Who Leads in the Age of AI
A few years ago, the best engineers were the ones who could lay perfect bricks, clean code, predictable output and consistent velocity. Now? The “brick” part is getting commoditized. When AI can generate scaffolds, tests and refactors in seconds, the constraint is no longer technical execution or the code itself. The new bottleneck is judgment. […]
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