Agentic AI

The Death of the “Every thing Prompt”: Google’s Move Toward Structured AI

been laying the groundwork for a more structured option to construct interactive, stateful AI-driven applications. One in all the more interesting outcomes of this effort was the discharge of their latest Interactions API...

Helping AI agents search to get the very best results out of huge language models

Whether you’re a scientist brainstorming research ideas or a CEO hoping to...

Tips on how to Work Effectively with Frontend and Backend Code

are often divided right into a separate frontend and backend. The frontend handles what the user sees, while the backend handles all the logic and processing. This can be a natural separation of...

Plan–Code–Execute: Designing Agents That Create Their Own Tools

today deal with how multiple agents coordinate while choosing tools from a predefined toolbox. While effective, this design quietly assumes that the tools required for a task are known prematurely. Let’s challenge that assumption...

Maximum-Effiency Coding Setup

different coding setups people use for programming. In this text, I’ll take you thru my personal coding setup and the tools and applications that I exploit to attain maximum efficiency when programming. It is...

The best way to Leverage Slash Commands to Code Effectively

are prompts you may store on your coding agent for easy accessibility. This is usually very useful for prompts you utilize repeatedly, resembling: Create a release pull request from the dev to the prod...

Beyond Prompting: The Power of Context Engineering

an LLM can see before it generates a solution. This includes the prompt itself, instructions, examples, retrieved documents, tool outputs, and even the prior conversation history. Context has a huge effect on answer quality....

Optimize Your AI Coding Agent Context

of your AI coding agent is critical to its performance. It is probably going one of the crucial significant aspects determining what number of tasks you may perform with a coding agent and...

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