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The agentic forest is getting dense, and it’s easier than ever to get lost. But we’ve got some perspective on the trail from a seasoned AI ranger on the latest episode of The Critic’s Corner podcast.

Industry legend (if we may be so bold) Andy Cohen is in the hot seat, and he takes us on his personal journey into tech – from an intrepid 8-year-old gamer and hacker... to an avid backpacker nurturing nature... to a pioneering architect building the future of Sitecore in the cloud.

It’s a wild ride that ends – or begins? – in the foothills of the agentic enterprise, and he shares how this unconventional roadmap has uniquely prepared him for what’s ahead

Host Matt Garrepy uses the episode to explore Andy Cohen’s unconventional career path, his pivotal role in Sitecore’s journey to the cloud, and his current work on Kajoo Agentic – an agent-first platform for orchestrating AI-powered workflows and CMS migrations.

Along the way, they tackle the hype and reality of the “agentic enterprise,” the risks of vibe coding, and why fundamentals still matter more than ever.

From a Commodore 64 to the modern CMS landscape

Like so many people in the CMS and DXP space, Andy didn’t arrive here by design. His story starts in the 1980s with a Commodore 64, PC magazines, and the kind of analog friction that defined early home computing.

As he says in the pod, his mother would bring home magazines filled with code samples, and Andy would painstakingly rattle away on his keyboard. Where was this new language taking him? That was yet to be discovered.

“I would type those programs into the computer,” he says. “I had no idea what they were doing as an eight‑year‑old. But I thought it was pretty cool.”

Those primitive workflows didn’t hold him back. It set the stage for the next chapter of bulletin board systems and the pre-Internet underground of software distribution. Hosting his own BBS, Andy discovered he could download and trade games – including iconic Sierra and Infocom titles – without ever visiting a store. As Napster did much later, this activity fell into the proto-realm of piracy.

Andy’s early dabbling in the world of hacking didn’t last long, but it does reveal something important about his mindset: he’s an improviser. And that instinct to push the boundaries of systems, to route around limitations, is a through-line from those early days all the way to his current focus on agentic architectures.

Trading screens for trees

Just as the narrative seems locked into a pure tech origin story, Andy takes a hard turn into the woods – literally. In high school, he fell in love with backpacking and the outdoors, and that passion carried him to UC Berkeley, bypassing computer science for forestry and resource management.

From there, he landed at Mount Diablo State Park, patrolling in a four-wheel drive truck, restoring habitats, and working on restoration projects. The work was hands-on and mission-driven. As he says in the pod, he loved the uniform, loved greeting park visitors, and loved the sense of stewardship.

While an admirable and highly qualified profession, being a forest ranger isn’t the highest-earning career path. And so Andy ended up in a different forest – the kind with four walls, phones, and computer screens. Moving to office work, he was drawn back into the orbit of technology, where he rekindled his interest in networks and systems. He eventually built enough expertise to earn certifications, and that led to his first official programming job in Minnesota, working on web development for staffing software.

What’s striking is how Andy frames the balance between nature and technology. In the pod, it’s clear that the passion still exists for the outdoors, and it’s far from being a discarded phase in his life. In fact, it’s a counterweight, and he talks about the deep motivation to introduce his kids to the outdoors through the national parks, and how nature is always a place to return to when the digital world gets too loud.

That sense of dual citizenship between the physical and digital, the grounded and the abstract, informs how he thinks about AI today. Even in the agentic era, we still build tools for humans who live somewhere other than in our stacks.

Moving Sitecore into the cloud era

For many listeners in the CMS and DXP community, Andy’s most visible chapter begins with Sitecore. Despite his growing tech acumen, he didn’t arrive at the iconic DXP as a product architect or platform engineer, but on the sales engineering side.

Andy’s knack for unpacking systems and quickly adapting was what drew him into the architecture side of the equation. As he explains in the pod, the hyperbolic COVID era landed him in the middle of one of the most consequential transitions in the company’s history.

As the tech world was racing toward cloud-native, SaaS, headless, and composable architectures, moving to the cloud became the mission – Andy was steering the ship to what would ultimately become XM Cloud, Sitecore’s fastest-growing product in its history. The product was a key factor in the company’s 2024 breakthrough to $500 million in ARR.

In the pod, Andy gets frank about the challenges of adopting new technologies like containers and Docker. But what he brought to the table was a relentless focus on the outcomes. He describes himself as a “change agent,” and that mindset, more than any specific tooling, is what helped bridge the gap between monolith and SaaS.

AI, agents, and why work isn’t disappearing

The episode slides naturally into the AI conversation that’s consuming nearly every software category, including CMS. We all see it: every vendor is suddenly “agentic,” every platform is a “front end for agents,” and buyers are struggling to divine the signal from noise.

Like the advent of ATMs as a disruptive technology, Andy sees something similar happening with AI, especially at the agentic layer. While AI has promised to deliver unimaginable automation, it’s not displacing work – but shifting it in different directions.

Andy Cohen speaking at the Boye & Company CMS Kickoff 26

“I don’t have less work to do,” he says bluntly. “I have way more than I ever did, and more is being expected out of me.”

One of the biggest revelations in the pod is how Andy sees this coalescing. As he says, he’s now an orchestrator of everything. His tasks look and feel different: he feeds instructions and constraints into models, evaluates what comes back, and iterates. In this sense, he’s wearing multiple hats as a developer, QA engineer, architect, product manager, UX thinker… and the list keeps growing.

Clearly, productivity is a chief benefit of AI. Andy’s experience crystallizes that. But the risks are scaling in tandem. The conversation explores how production outages and security lapses are being caused by an over-reliance on AI-generated code.

As Andy explains, the winners won’t be the teams that blindly replace humans with agents. They’ll be the ones who can use AI to safely increase output while preserving – and even elevating – the standards of quality, security, and maintainability.

Vibe coding and the new developer skill set

One of the most thoughtful parts of the episode is the discussion around education and re‑skilling. Andy’s concerns run deep as he thinks about his own kids and their future in a world where AI is the default thinking mechanism.

“How do you train the next generation of developers when their first instinct is to just ask the model?” he asks. And it’s a poignant question, and Andy dives into the tension between the accessibility of AI-assisted development and the need for foundational understanding.

“I can tell the AI what I want to build, but I have to sit there and babysit because it will write so much stuff that I don’t necessarily want,” he explains. “And if you go and try to run it, it won’t actually even work or do the things that you need it to do.”

This is where the idea of “vibe coding” – building primarily by prompting intent to AI tools – comes under scrutiny. It’s a topic we’ve been following with deep interest as tools become more deeply integrated with these capabilities. Without a grounding in basic concepts like security, data modeling, and system design, new practitioners may be able to get something running, but not diagnose why it fails or what risks it introduces.

The result is a growing layer of tech debt, especially in organizations racing to bolt agents and AI workflows onto existing systems. Fixing this won’t be about nostalgia for pre‑AI development, but about equipping people with hybrid skills – the ability to think like architects and security engineers while still moving at AI-accelerated speed.

In other words, the job isn’t going away. It’s mutating. And to Andy’s point, it’s becoming more demanding.

Kajoo Agentic and the future of agentic platforms

The pod closes by zooming in on Andy’s current work with TechGuilds and Kajoo Agentic, a platform that sits at the intersection of everything discussed in the episode.

Many in the Sitecore and broader CMS community first encountered Kajoo as a transformative migration tool – a system that could ingest an existing website, understand its structure and design, and reconstitute it inside a CMS. It felt almost magical when it debuted at community events, and it previewed the kind of intelligence we now associate with AI-native tools.

Source: Kajoo.ai

AI has long been a key part of Kajoo’s delivery, but Kajoo Agentic is the evolution of that vision into a full agentic platform. It’s designed both as a general framework for defining and orchestrating AI agents, and as a specialized solution for complex migrations, including to the newly launched SitecoreAI.

Andy underscores how the hard part isn’t just wiring an LLM into a migration script. It’s drawing the boundaries between agents and tools, deciding what must be deterministic and what can remain probabilistic, and managing the reality that model behavior and infrastructure conditions are constantly shifting.

This is where Andy’s decades of experience across digital systems – informed by his penchant for curating natural ecologies – is providing a kind of garden for agents to blossom in the right direction. As a restless explorer, he’s constantly pushing the potential and outer boundaries of technology, and where content, data, and customer experience intersect.

For practitioners and leaders trying to navigate the dense forests of agentic AI, this episode of The Critic’s Corner offers a rare voice of calm and clarity. Andy sidesteps the buzzwords and offers a grounded, human narrative about how we got here and the kind of thinking it will take to tame this wilderness – so we can plant and grow a sustainable future.

“The Critic’s Corner” podcast with Andy Cohen

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Seeing the ‘Agentic Forest’ Through the Trees: Andy Cohen on Taming the AI Wilderness