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.
As a frontend engineer learning CSS properly will save you time and your sanity in the long run irrespective of which styling approach you use.
Web applications combine layers—like frontend (HTML, CSS, JS), backend (Node, Python), databases, and infrastructure—which are "stacked" to form a web application.
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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.
Lessons from a first tech startup: mistakes in engineering, design, and marketplace development from an inexperienced founder's journey with Hawkker.
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.
The most important thing when your a startup is to get your MVP validated as quickly as possible. Use off the shelf products to build the undifferentiated features of your product and focus your resources on what makes you unique
A walkthrough of AI fundamentals which helps contextualise the current excitement around on Retrieval-Augmented Generation (RAG) and Agentic AI Applications.