Fullstack Entrepreneur

How I rebuilt my AI chatbot without RAG: bigger context windows, prompt caching and tool-using agents replaced embeddings and a vector database.

AI works best when it uses your context consciously and consensually—moving it from big tech tracking to user-owned, task-focused agents that deliver better outcomes responsibly.

While AI tools can generate complex code quickly, they don't eliminate the need for technical knowledge. The piece argues that AI is better used as a learning tool to develop foundational technical understanding rather than as a replacement for coding skills.

How I built ZeidBot - a RAG chatbot using Vector DBs, LLMs, embedders and LangChain. Using tools within the AI-stack and building reasoning applications with precision and control.

Step-by-step walkthrough showing how to harness the power of AI locally. Learn to run language models on your own computer, opening up new possibilities for privacy-focused and tailored AI applications.

A walkthrough of AI fundamentals which helps contextualise the current excitement around Retrieval-Augmented Generation (RAG) and Agentic AI Applications.

The most important thing for a startup is to get the MVP validated as quickly as possible. Use off the shelf products to quickly build the undifferentiated features of your product and focus your resources on what makes you unique.

A comprehensive guide to startup administration, covering essential aspects from company formation to fundraising. Learn about equity management, legal requirements, and investor relations in this detailed overview for founders and startup employees.

Lessons from a first tech startup: mistakes in engineering, design, and marketplace development from an inexperienced founder's journey with Hawkker.

Web applications combine layers—like frontend (HTML, CSS, JS), backend (Node, Python), databases, and infrastructure—which are "stacked" to form a web application.