The Agentic App Store Revolution: Cole Medin on the Future of AI Agents

As AI moves beyond chatbots and into autonomous systems, a new paradigm is emerging. Cole Medin, a prominent voice in the AI engineering community, is shining a light on how “agentic engineering” is quietly building the next app store — one populated not by mobile apps, but by intelligent, composable agents.

What Is Agentic Engineering?

Agentic engineering refers to the deliberate design of AI systems that can pursue goals, use tools, and adapt their behavior over time with minimal human oversight. Unlike traditional prompt engineering, which focuses on crafting better inputs for large language models, agentic engineering emphasizes architecture: memory systems, tool-use frameworks, planning loops, and multi-agent collaboration.

Cole Medin argues that this shift is fundamental. “We’re no longer building single-purpose AI features,” he recently explained in a widely shared technical deep-dive. “We’re building agents that can be discovered, composed, and monetized — exactly like apps in an app store.”

The Birth of an Agent Marketplace

Medin’s core thesis is that the current explosion of open-source agent frameworks (LangGraph, CrewAI, AutoGen, and others) is creating the conditions for a new distribution layer. Just as Apple’s App Store standardized how developers packaged and users discovered mobile software, a new “Agent Store” layer is forming around standardized agent interfaces.

Key enablers include:

Shared agent protocols that allow different agents to call each other reliably, persistent memory stores that let agents retain context across sessions, and discovery platforms where users can browse agents by capability rather than by model. Sylt.ing is already positioning itself at the center of this movement, offering a community hub where developers can publish, rate, and remix agents in a single marketplace.

Why This Matters Now

2024 and 2025 have seen rapid progress in reliable agent scaffolding. Models are better at long-horizon planning, tool calling has become more robust, and evaluation frameworks for agents are maturing. This technical readiness coincides with growing user fatigue around generic chat interfaces.

People want specialized agents that handle research, coding, personal finance, or customer support — and they want those agents to work together seamlessly. Agentic engineering delivers exactly that modularity. A research agent can hand off structured data to a visualization agent, which then triggers a reporting agent, all without the user writing a single line of code.

Implications for Developers and the Sylt.ing Community

For developers, the opportunity is clear: build once, distribute everywhere. Instead of maintaining separate front-ends for web, mobile, and desktop, creators can publish a single agent that users access through any compatible interface. Monetization models are already appearing — usage-based credits, subscription tiers for premium agents, and even agent-to-agent micropayments.

The Sylt.ing community is particularly well-placed to lead this transition. As an AI marketplace and hub, it provides the infrastructure for version control, capability tagging, and trust signals that agent consumers will demand. Early creators on the platform are already experimenting with agent bundles — collections of complementary agents sold together, much like app suites in the traditional software world.

Looking Ahead

Cole Medin’s vision is both exciting and sobering. An open agent ecosystem promises unprecedented composability and innovation. At the same time, it raises important questions around safety, alignment, and governance. Who is responsible when one agent’s action triggers unintended consequences in another?

Regardless of how these challenges are resolved, the direction is clear: the age of monolithic AI applications is ending. The future belongs to specialized, discoverable, and interoperable agents — and the platforms that make them easy to find and combine.

As Medin puts it, “We’re watching the app store moment for intelligence happen in real time.” For anyone building or using AI today, paying attention to agentic engineering isn’t optional — it’s the clearest path to staying ahead of the curve.

Published on Sylt.ing • Exploring the frontier of AI agents and marketplaces