Tag: ai

Plan, Don't Execute: Agentic Workflows in Zero Trust Environments

How zero-trust environments can leverage AI agents and agentic workflows without compromising security and trust.

5 Pillars of Augmented Agentic Software Development

Explore the 5 pillars of Augmented Agentic Software Development to enhance your AI coding workflows. Learn how to leverage agent system instructions, spec-driven development, MCP servers, and agent memory to get the most out of tools like Gemini CLI and Claude Code.

Themes to Unlock Agentic Development for Software Engineers

Agentic coding assistants in the forms of IDE extensions are becoming increasingly popular among developers but they're likely just a milestone in the evolution of LLM-powered software engineering which will truly be AI-native. In this article, I want to unpack some AI-centric trends in software development and lean in to the future of what they would translate to in terms of the role of an engineer.

If You're an MCP Company You're NGMI

Model Context Protocol (MCP) is a great protocol but if your company is built around it as the core product, you're not gonna make it. Here's why.

Auto fine-tuning Agentic Workflow with Qodo CLI

Running agentic AI workflows with the Qodo Command CLI is a powerful way to automate tasks but what's even cooler is that you can also automate the whole fine-tuning of the agentic workflow process itself USING THE AGENT!

Automating OpenSSF Scorecard Security issues with Qodo CLI Agentic Workflow

Getting a security report for security vulnerabilities and misconfiguration issues of your GitHub project is a good start but can we leverage AI to also remediate all of these issues automatically through agentic workflow? Yes and I will show you how I do that with Qodo CLI Agentic Workflow