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CYC26 / Frontend

What about DIY AI: Building AI Micro-Tools for Your Own Workflows

Some developer tools are either generic chat windows or rigid SaaS features that never quite fit your workflow. Instead of waiting on someone else's product roadmap, let's build exactly what we need. This session is for engineers ready to treat LLMs as functional components. We’ll dive into building lightweight, highly targeted AI micro-tools designed to eliminate your specific friction points. We'll break down the architectural patterns to orchestrate these workflows, chaining APIs, webhooks, and models to handle the mundane tasks. Using real-world examples, we’ll explore how to wire up orchestrators leverage platforms like Notion, GitHub, and Atlassian Forge as secure context engines. You'll walk away with the blueprints to stop waiting for features and start building custom, creative tools that you actually control.

Session abstract

What you’ll learn

Some developer tools are either generic chat windows or rigid SaaS features that never quite fit your workflow. Instead of waiting on someone else's product roadmap, let's build exactly what we need. This session is for engineers ready to treat LLMs as functional components. We’ll dive into building lightweight, highly targeted AI micro-tools designed to eliminate your specific friction points. We'll break down the architectural patterns to orchestrate these workflows, chaining APIs, webhooks, and models to handle the mundane tasks. Using real-world examples, we’ll explore how to wire up orchestrators leverage platforms like Notion, GitHub, and Atlassian Forge as secure context engines. You'll walk away with the blueprints to stop waiting for features and start building custom, creative tools that you actually control.