Laurel enables non-technical employees, including Product and Customer Success Managers, to build and ship full-stack features using agentic AI tools like Devin. This blurs traditional role boundaries and dramatically accelerates development cycles.

Because AI agents operate autonomously, developers can now code collaboratively while on calls. They can brainstorm, kick off a feature build, and have it ready for production by the end of the meeting, transforming coding from a solo, heads-down activity to a social one.

Moving beyond chatbots, tools like Claude Cowork empower non-coders to create complex, multi-step autonomous workflows using natural language. This 'agentic' capability—connecting documents, searches, and data—is a key trend that will democratize automation and software creation for all knowledge workers.

Tools like Claude Code are democratizing software development. Product managers without a coding background can use these AI assistants to work in the terminal, manage databases, and deploy apps. This accelerates prototyping and deepens technical understanding, improving collaboration with engineers.

Claude Code can take a high-level goal, ask clarifying questions, and then independently work for over an hour to generate code and deploy a working website. This signals a shift from AI as a simple tool to AI as an autonomous agent capable of complex, multi-step projects.

Using AI agents in shared Slack channels transforms coding from a solo activity into a collaborative one. Multiple team members can observe the agent's work, provide corrective feedback in the same thread, and collectively guide the task to completion, fostering shared knowledge.

A design agency professional with no coding experience used the Moltbot agent to build 25 internal web services simply by describing the problems. This signals a paradigm shift where non-technical users can create their own hyper-personalized software, bypassing traditional development cycles and SaaS subscriptions.

AI tools like Claude Cowork can now handle complex tasks like app development, including UX/UI design and coding, from natural language prompts. This dramatically lowers the barrier to creating custom software, as demonstrated by one host building a fully functional meditation app in minutes.

Stripe engineers can initiate a full AI-driven coding task—including provisioning a dev environment and creating a pull request—simply by reacting to a Slack message with an emoji. This dramatically lowers the friction to start work by moving the entry point from a text editor to a chat app.