Blogs

If you're serious about learning to code and making a real career change, this Blog is for you. I’ll cover: ✅ How to earn 6 figure income as software engineer ✅ The exact steps I took to start coding ✅ The best beginner programming course (CS50 – but NOT with Python!) ✅ How to stay consistent & overcome failure ✅ The power of building real projects that scare you ✅ My job application strategy & dealing with rejections 🎯 No fluff. No shortcuts. Just a real, tested roadmap to success.

research-agent is a JavaScript library that automates research tasks using AI technologies like large language models, web scraping, and dynamic tooling. It generates relevant questions, performs distributed searches, analyzes information, and creates comprehensive reports. The library ensures accuracy through a relevance validation process and offers flexibility in customizing the research workflow. research-agent aims to make research more efficient, accurate, and effective for developers, students, and professionals alike. This blog post explores the inner workings of research-agent, provides a code example, and discusses the benefits of using this powerful tool for research purposes.

Discover TTS-AI, an open-source library transforming text to speech by providing a unified API for leading TTS providers. Learn how its remarkable features like seamless voice switching, automatic text chunking, and high-quality audio generation can enhance your applications. Dive into our blog to kickstart your journey with TTS-AI.

explore how to build a custom knowledge-based chatbot using LangChain. By combining chat history, semantic search, and language models, the chatbot generates context-aware responses. The blog provides an overview of LangChain, explains the project stages, and details the implementation steps. The integration of custom data with large language models opens up possibilities for leveraging AI in a targeted and controlled manner, resulting in more accurate and meaningful chatbot interactions.

Learn how to handle Prisma ORM errors in a more descriptive and efficient way with the help of Prisma Better Errors. By mapping Prisma error codes to HTTP status codes and error messages, developers can easily understand what went wrong and quickly resolve errors.