Best of Tech With Tim — 2025

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    Web Scraping 101: A Million Dollar SaaS Idea

    The post explores a web scraping SaaS idea with high potential, targeting influencer marketing inefficiencies. It outlines a project to build a system that identifies video sponsorships on YouTube, including detailed steps for data collection and analysis using Bright Data's web scraping API. The project aims to help companies find suitable influencers and track competitors, while addressing challenges like scaling data collection and handling API token limits.

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    I Built a Web Scraping AI Agent From Scratch - It's Insane...

    Building powerful AI applications requires the integration of large language models (LLMs) with real-time data and useful tools. In this post, the author demonstrates the development of an AI travel agent using Python. This agent uses Bright Data APIs for real-time travel data, Google Flights, and hotel information to provide relevant and current recommendations. The post covers the project's architecture, details the steps of web scraping with automated browsers, and explains how the AI processes and combines data to generate personalized travel plans.

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    How I'd Learn ML/AI FAST If I Had to Start Over

    Advocates a strategic approach to learning AI and ML swiftly in the rapidly evolving landscape of 2025. Emphasizes the importance of critical thinking and practical coding skills, particularly in Python, for effective AI/ML projects. Encourages data literacy as foundational and promotes hands-on experience with AI models, APIs, and machine learning techniques before transitioning into advanced concepts like LLMs and AI agents.

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    How to Build a Local AI Agent With Python (Ollama, LangChain & RAG)

    Learn how to build a local AI agent using Python, LangChain, Ollama, and ChromaDB. The project demonstrates setting up an AI to query and interpret data from a CSV file, such as restaurant reviews, using retrieval augmented generation. All processes run locally without requiring external accounts or cloud services, making it a highly accessible project.

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    Avatar of TechWithTimTech With Tim·51w

    How I Plan My Coding Projects

    A comprehensive nine-step process for planning coding projects covers everything from defining project goals and target users to selecting tech stacks and deployment strategies. The methodology emphasizes starting with clear objectives, writing user stories, designing data models, ruthlessly scoping an MVP, creating simple wireframes, considering future scalability, choosing appropriate architecture, selecting the right technology stack, and following a structured development process. The approach prioritizes planning as a foundation that accelerates development rather than slowing it down, helping developers avoid scope creep, technical debt, and rebuilding work.

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    How To Automate Your Finances with Python - Full Tutorial (Pandas, Streamlit, Plotly & More)

    The post provides a step-by-step tutorial for building a personal finance automation tool using Python with libraries such as Pandas, Streamlit, and Plotly. The tool can upload bank statements in CSV format, categorize transactions, and summarize expenses using visualizations. It also explains how to convert bank statements into a format conducive to analysis and the importance of utilizing structured, project-based learning resources like Data Camp for Python and finance fundamentals.

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    Avatar of TechWithTimTech With Tim·49w

    How to Learn Coding Fast and Never Forget It

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    This Free AI Coding Assistant Might Destroy Cursor...

    Augment Code is a new AI coding assistant designed to integrate with VS Code and various JetBrains IDEs. It excels in managing and making productive changes in larger codebases rather than building projects from scratch. Key features include fast context-aware code generation, instant code syncing, and comprehensive indexing. It offers a free version, which allows unlimited usage but trains on user data, and paid versions that secure user code. Augment Code is noted for its speed and efficiency compared to other AI assistants like GitHub Copilot and Wind Surf.

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    How I Built a Full-Stack AI App in 5 Hours (Agents, Streamlit, Python & More)

    The post describes the process of building a coding AI tutor assistant that tracks progress, generates quizzes, and provides resources. The author explains their planning method, the technology stack they chose (Parland for AI, Streamlit for the front end, Python for the backend, and MongoDB for the database), and shares their experience of coding the application in 5 hours. The post highlights the seamless integration of different technologies and the use of AI to expedite development.

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    Avatar of TechWithTimTech With Tim·40w

    6 Hours of JavaScript Projects - From Beginner to Advanced

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    Build Anything With a CUSTOM MCP Server - Python Tutorial

    Learn to build a custom MCP server in Python and connect it to an AI agent. The tutorial walks through the process step-by-step, from installing necessary packages like UV to setting up the MCP Python SDK. The guide provides clear instructions on making tools and resources accessible to AI agents, including writing, reading, and summarizing notes with code examples. Additionally covers debugging, integrating with Claude desktop, and highlights the versatility of MCP servers.

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    Reddit Clone - Full Tutorial w/ TypeScript, React & Convex

    This post provides a comprehensive tutorial on building a full-scale Reddit clone using TypeScript and React for the front end, and Convex for the back end. It covers various features such as user authentication with Clerk, comments, posts, subreddits, and real-time updates. The post includes a step-by-step guide on setting up the project, installing necessary dependencies, configuring the back end, and designing the front end layout and navigation. By the end of the tutorial, users will have a fully functional Reddit clone that can be extended and personalized.

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    5 AI Frameworks I Wished I Learned Earlier

    The post discusses five AI frameworks: Lang chain for building LLM-based applications with ease, Lang flow for creating LLM apps using a visual editor, Olama for running LLMs locally, Llama Index for AI apps centered around enterprise data, and Hugging Face Transformers for easier handling of transformer models in NLP and other tasks. Each framework is briefly explained with the benefits and use cases highlighted.

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    Build an AI Agent From Scratch in Python - Tutorial for Beginners

    Learn how to build an AI agent from scratch in Python, integrating popular frameworks like LangChain and using large language models (LLMs) such as Claude or GPT. The tutorial covers setting up a virtual environment, installing dependencies, creating tools, and using API keys for different LLMs. You'll also learn how to create a structured output for the AI agent and how to write custom tools to enhance its functionality.

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    How to Build a Discord Bot With Python - Full Tutorial 2025+

    Learn how to build a custom Discord bot using Python in about 100 lines of code. This guide walks you through setting up the bot, connecting to Discord, obtaining tokens, and implementing various functionalities like responding to events, handling commands, assigning roles, and creating polls. The tutorial uses `discord.py` and covers both basic and some advanced features with code examples.

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    3 Python AI Projects for Beginners - Full Tutorial

    Learn to build three beginner-friendly Python AI projects: an AI agent, a resume critiquer, and an image classifier. The tutorial covers setting up the environment using UV, using Langchain and TensorFlow, and utilizing Streamlit for user interfaces. Each project introduces tools and techniques for building adaptable AI models.

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    How to Build an Advanced AI Agent with Search (LangGraph, Python & More)

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    Full Stack Developer Roadmap for 2025

    A comprehensive roadmap for becoming a full stack developer in 2025, covering essential skills from frontend (HTML, CSS, JavaScript, React) to backend (Node.js, Python, APIs) and databases (SQL, NoSQL). Emphasizes picking a specific technology stack, learning core web development concepts, mastering development tools like Git and command line, and building practical projects including CRUD applications and authentication systems. Provides a structured learning path from basics to deployment and DevOps fundamentals.

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    Avatar of TechWithTimTech With Tim·50w

    Python Advanced AI Agent Tutorial - LangGraph, LangChain, Tools & More!

    A comprehensive tutorial on building advanced AI agents using LangGraph, LangChain, and Firecrawl. The guide demonstrates creating a coding research assistant that follows structured multi-step workflows to research developer tools and frameworks. It covers both simple agent creation using MCP servers and advanced implementations with custom workflows, structured outputs using Pydantic models, and controlled agent flow through graph-based state management.

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    Learn Ollama in 15 Minutes - Run LLM Models Locally for FREE

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    Learn These 3 GENUIS Python Features

    Discover three advanced Python features that can elevate your programming skills: context managers, metaclasses, and the usage of single dispatch for generic functions. Context managers help manage resources efficiently. Metaclasses define how classes are created, bringing flexibility in class behavior. Single dispatch allows for cleaner and more maintainable code by enabling function overloading based on input types.

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    Avatar of TechWithTimTech With Tim·44w

    How I Mastered Data Structures and Algorithms

    A practical guide to mastering data structures and algorithms efficiently for coding interviews. The approach emphasizes choosing an easy language like Python, learning theory quickly without over-studying, practicing 75-100 quality problems instead of hundreds, and simulating real interview conditions with mock interviews and whiteboard practice. The key is quality over quantity, proper preparation methodology, and building confidence through thorough practice.

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    I've built over 100 Python projects, and here...

    Building over 100 Python projects has led to identifying key elements that make a project suitable for a resume: it should be easy to understand, have a wow factor, solve a real world problem, and demonstrate specific capabilities relevant to the job description.

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    Avatar of TechWithTimTech With Tim·44w

    Python Advanced MCP Server Tutorial (Authentication, Databases & More)

    A comprehensive tutorial covering advanced MCP (Model Context Protocol) server development in Python using FastMCP. The guide demonstrates implementing OAuth authentication with Stitch, setting up HTTP transport, creating custom tools and resources, and building a React frontend for user authentication. Key topics include MCP architecture, client-server communication, bearer token authentication, database integration with SQLAlchemy, and production-ready features beyond basic MCP server setup.

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    Avatar of TechWithTimTech With Tim·27w

    Is PHP the best back end language for you to use?

    PHP remains a practical choice for backend development despite its reputation. It powers a significant portion of the web, particularly small business websites and platforms like WordPress. The language offers strong job opportunities, especially for maintaining legacy systems and e-commerce sites, with relatively few new developers entering the field creating demand for PHP skills.

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