#llm Development Tutorials & Tips | Roast Dev

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I explain the Model Context Protocol or MCP used to interact with LLMs

One of the most convenient uses of LLMs is to use them to analyse or process our own data, for which there are several options, such as LLM fine-tuning or RAG, or manually passing our data as context ...

03.04.2025 0 Read More

Building a Basic MCP Server with Python

Free Resources Free Apache Iceberg Course Free Copy of “Apache Iceberg: The Definitive Guide” 2025 Apache Iceberg Architecture Guide How to Join the Iceberg Community Iceberg La...

04.04.2025 0 Read More

AI Codebase Knowledge Builder (Full Dev Tutorial!)

Ever stared at a new codebase feeling completely lost? What if an AI could read it for you and create a friendly tutorial explaining exactly how it works? This guide shows you how to build a system t...

04.04.2025 0 Read More

Tiny Experiments: Embracing Iterative Growth and Self-Discovery

Disclaimer: this is a report generated with my tool: https://github.com/DTeam-Top/tsw-cli. See it as an experiment not a formal research, 😄。Now, my tool supports reading youtube videos when it's ...

05.04.2025 0 Read More

Securing Kubernetes Using Honeypots to Detect and Prevent Lateral Movement Attacks

The increasing complexity of Kubernetes environments presents unique security challenges, particularly regarding lateral movement attacks. Honeypots offer a strategic advantage in detecting and preven...

05.04.2025 0 Read More

🧠 Diagram2Graph: Fine-Tuning a Vision Language Model to Extract Knowledge Graphs from Diagrams

Using Qwen2.5-VL + PEFT + Neo4J Fine tuned by By Mohammed Safvan | Zackriya Solutions 🚀 TL;DR Convert images of flowcharts or process diagrams directly into Neo4J-compatible JSON using a fi...

05.04.2025 0 Read More

Expectations vs Reality: Adopting AI (LLM) in Product Engineering

As LLM become part of everyday engineering workflows, it's critical to understand what they can and cannot do — especially in product engineering, where business context matters deeply.When you ask ...

05.04.2025 0 Read More

A Journey from AI to LLMs and MCP - 2 - How LLMs Work — Embeddings, Vectors, and Context Windows

Free Resources Free Apache Iceberg Course Free Copy of “Apache Iceberg: The Definitive Guide” 2025 Apache Iceberg Architecture Guide How to Join the Iceberg Community Iceberg La...

05.04.2025 0 Read More

A Journey from AI to LLMs and MCP - 3 - Boosting LLM Performance — Fine-Tuning, Prompt Engineering, and RAG

Free Resources Free Apache Iceberg Course Free Copy of “Apache Iceberg: The Definitive Guide” 2025 Apache Iceberg Architecture Guide How to Join the Iceberg Community Iceberg La...

05.04.2025 0 Read More

A Journey from AI to LLMs and MCP - 4 - What Are AI Agents — And Why They're the Future of LLM Applications

Free Resources Free Apache Iceberg Course Free Copy of “Apache Iceberg: The Definitive Guide” 2025 Apache Iceberg Architecture Guide How to Join the Iceberg Community Iceberg La...

05.04.2025 0 Read More

I explain the Model Context Protocol or MCP used to interact with LLMs

Building a Basic MCP Server with Python

AI Codebase Knowledge Builder (Full Dev Tutorial!)

Tiny Experiments: Embracing Iterative Growth and Self-Discovery

Securing Kubernetes Using Honeypots to Detect and Prevent Lateral Movement Attacks

🧠 Diagram2Graph: Fine-Tuning a Vision Language Model to Extract Knowledge Graphs from Diagrams

Expectations vs Reality: Adopting AI (LLM) in Product Engineering

A Journey from AI to LLMs and MCP - 2 - How LLMs Work — Embeddings, Vectors, and Context Windows

A Journey from AI to LLMs and MCP - 3 - Boosting LLM Performance — Fine-Tuning, Prompt Engineering, and RAG

A Journey from AI to LLMs and MCP - 4 - What Are AI Agents — And Why They're the Future of LLM Applications

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