Mert Palazoğlu
Mert Palazoglu has been an industry analyst at AIMultiple since 2023.
Research interests
His work focuses on the latest trends, companies, and innovations in:- Artificial intelligence (AI)
- Cyber security with a focus on network security
- Customer service software
- Proxies for data collection
Education
He graduated with a BS in Management from Bilkent University in 2021.
Latest Articles from Mert
Optimizing Agentic Coding: How I use Claude Code
AI coding tools have become indispensable for many tasks. In our tests, popular AI coding tools like Cursor have been responsible for generating over 70% of the code required for tasks. With AI agents still being relatively new, I observed some useful patterns in my workflow that I want to share.
How ACP Enables Interoperable Agent Communication?
We’re starting to see GenAI move toward standardization, similar to how HTTP transformed the internet in the early 1990s. Just as HTTP enabled the rise of the World Wide Web, new protocols are emerging.
10 AI Coding Challenges I Face While Managing AI Agents
From what I have observed, AI agents are particularly helpful during the exploratory phases of work, assisting with implementations or outlining potential approaches. However, they fall short in contexts that require consistent judgment or strategic reasoning. Below, I outlined the most common AI coding challenges. Click the links to jump to each section: 1.
AI Agents vs Agentic AI Systems
Adapted from There’s been a lot of buzz around the terms “AI agents” and “Agentic AI systems” lately. While they’re often used interchangeably, they actually refer to slightly different concepts.
Centralizing AI Tool Access with the MCP Gateway
Source: Jahgirdar, Manoj In this article, I’ll walk through the evolution of AI tool integration, explain what the Model Context Protocol (MCP) is, and show why MCP alone isn’t production-ready. Then we’ll explore real-world gateway implementations between AI agents and external tools.
Cognitive Agents: Creating a Mind with LangChain
In this article, we’ll explore how memory types apply to AI agents and how we can use frameworks like LangChain to add memory to AI agents. Memory in AI agents AI agent memory refers to an AI system’s ability to store and recall past experiences.
Large Language Models in Cybersecurity
Large language models (LLMs) are increasingly applied across cybersecurity domains, including threat intelligence, vulnerability detection, anomaly analysis, and red teaming. These applications are supported by both specialized cybersecurity LLMs and general-purpose models.
Agentic CLI Tools Compared: Claude Code vs Cline vs Aider
Explore top free and open-source agentic CLI tools that offer LLM integration, prompt chaining, and code editing capabilities, all within a terminal-based workflow. AI coding tools can generally be grouped into three categories: What are CLI-based coding agents? CLI-based coding agents are conversational, prompt-driven AI tools that operate entirely in the terminal.
Top 10 Free PAM Solutions
There are no fully-pledged, plug-and-play PAM solutions that are completely free for use in production environments. However, a few vendors offer free solutions with PAM capabilities for low-scale deployments. Some (e.g., Devolutions Password Hub) also have paid business plans with approval workflows/reporting.
Top 20 Active Directory Management Tools
Although many systems have moved to the cloud, Active Directory (AD) remains the central identity platform for managing users, devices, and access across most organizations.
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