Tag: ai

Evaluation Framework for MCP Security Threats and Risks

How to evaluate and categorize security threats and risks associated with Model Code Protocol (MCP) in light of recent security incidents.

The Cursor Agentic Jira MCP Attack Explained with Toxic Flow Analysis

A breakdown of the Cursor + Jira MCP 0-Click attack, how it was exploited, and why developers are at the center of it all. Understanding MCPs, Toxic Flows, and the implications for AI-assisted coding environments.

The Uprising of Model Context Protocol (MCP) Security Research

The Model Context Protocol (MCP) is gaining traction in the AI community, and with its rise comes a wave of security research. This article explores the emerging security landscape surrounding MCP, highlighting key vulnerabilities and the importance of robust security measures in this evolving protocol.

Agent Rules is the Missing Link in AI-Powered Development

How agent-rules open source project is helping create consistent and deterministic security in AI coding assistants.

Automating DevRel Conference CFP Evaluation with AI Agents: A Complete Guide with the Mastra AI Framework

Ever wanted to automate the process of evaluating hundreds of conference Call for Papers (CFP) submissions? Here's how I built an AI-powered CFP evaluation system using Mastra AI agents to streamline the review process while maintaining quality and consistency.

Agentic Marketing: The Future of AI-Driven Marketing Strategies

Agentic marketing is going to be the next marketing transformation that product marketers and growth teams need to embrace to stay ahead of the curve. This paradigm shift is set to revolutionize the way businesses engage with their audience.

A Proposed MCP Server Security Evaluation Framework

With great MCP power comes great MCP responsibility and you should be prepared to evaluate the security of your MCP server implementation and MCP adoption in your AI agents.

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