We now have access to the most powerful LLM models available. By adding an agentic layer on top — with industry-specific context and task-specific instructions — we can put these models to real work. A practical first step is integrating the applications your team already uses. Give AI access to your existing tools, and it can handle anything from repetitive tasks to complex analysis. I'm actively building integration guides for common Tax and Finance apps — stay tuned as I continue updating them.
Coding agents aren't just for engineers anymore. These tools let anyone give instructions in plain language and have AI handle the technical execution — from running terminal commands to editing files and building workflows. Engineers spend less time on repetitive coding tasks, while non-coders gain access to capabilities that previously required a developer. As natural language becomes the interface for technical work, the teams that adopt these tools early will move faster.