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2026/05/20 06:46:18
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devpresspublished a new post: build-a-personal-health-record-app-with-google-gemma-4
2026/05/20 06:41:09
| parent author | |
| parent permlink | tutorial |
| author | devpress |
| permlink | build-a-personal-health-record-app-with-google-gemma-4 |
| title | Build a Personal Health Record App with Google Gemma 4 |
| body | Want to create a personal health dashboard quickly? **Google Gemma 4** (especially the powerful 31B model) makes it possible to build a full-featured **Health Record / Health Journal app** in minutes using AI coding tools. This approach is perfect for developers, health enthusiasts, or anyone looking to track personal wellness data privately. https://www.youtube.com/watch?v=8AKQxl0lVgI ### Why Gemma 4 for This Project? Gemma 4 offers strong reasoning, large context window (up to 256K), and excellent coding capabilities. Currently available for free on platforms like **OpenRouter**, it excels at building complete applications from natural language prompts. ### Key Features You’ll Get - Intuitive dashboard overview - Log medicine, symptoms, doctor visits, and purchases - Simple data visualizations (charts) - Clean, modern UI with Tailwind CSS or Material UI - Local data persistence (easily upgradable to a database) This workflow shows how powerful open models like Gemma 4 are turning complex app development into fast, conversational tasks. Great for personal use or as a starting point for more advanced health apps. |
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}devpresspublished a new post: free-powerful-coding-llms-poolside-laguna-m-1-and-xs-2-api-setup-in-vs-code2026/05/19 06:19:00
devpresspublished a new post: free-powerful-coding-llms-poolside-laguna-m-1-and-xs-2-api-setup-in-vs-code
2026/05/19 06:19:00
| parent author | |
| parent permlink | tutorial |
| author | devpress |
| permlink | free-powerful-coding-llms-poolside-laguna-m-1-and-xs-2-api-setup-in-vs-code |
| title | Free Powerful Coding LLMs: Poolside Laguna M.1 & XS.2 API Setup in VS Code |
| body | Looking for a **free, high-quality LLM API** optimized for coding? Poolside’s **Laguna M.1** (large, highly capable) and **Laguna XS.2** (smaller, efficient, open-weight) models are currently available for free (limited time) and excel at agentic coding tasks, code generation, refactoring, and complex software engineering work. https://www.youtube.com/watch?v=P5KPPjQfmKc ### Why Choose Poolside Laguna Models? - Built specifically for coding and agentic workflows - Strong performance for their size - OpenAI-compatible API — works perfectly with VS Code extensions - Free access via Poolside platform or OpenRouter ### Pro Tips - Start with Laguna XS.2 for faster responses and lower usage. - Switch to Laguna M.1 for more complex, multi-file tasks. - Monitor your usage as the free period is time-limited. - Combine with local tools for the best experience. This setup gives you powerful, free AI coding assistance directly in VS Code without spending on premium APIs. Great for side projects, learning, or daily development. |
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devpressreceived 0.072 STEEM, 0.073 SP author reward for @devpress / build-a-flashcard-app-in-minutes-with-cursor-ai-django
2026/05/19 04:36:12
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| parent author | devpress |
| parent permlink | master-cursor-ai-with-rules-and-the-cursor-folder-level-up-your-coding |
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devpresspublished a new post: master-cursor-ai-with-rules-and-the-cursor-folder-level-up-your-coding
2026/05/17 06:42:51
| parent author | |
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| permlink | master-cursor-ai-with-rules-and-the-cursor-folder-level-up-your-coding |
| title | Master Cursor AI with Rules & the .cursor Folder – Level Up Your Coding |
| body | Tired of repeating the same instructions to AI every time you code? Cursor AI’s **Rules** feature (powered by the `.cursor` folder) is a game-changer. It lets you create persistent, project-specific instructions that guide the AI to follow your coding style, best practices, and requirements automatically. https://www.youtube.com/watch?v=KzkXJiXGUGw ### Why Rules Matter in Cursor Rules ensure the AI consistently produces code that matches your standards — architecture, naming conventions, tech stack preferences, and more. No more generic or off-style suggestions. ### How to Set It Up (Step-by-Step) 1. **Create the Rules Folder** In your project root, create a folder called `.cursor/rules`. This is where all your project rules live and it gets version-controlled with Git. 2. **Create .mdc Rule Files** Inside the `rules` folder, add Markdown files with the `.mdc` extension (e.g., `project-rules.mdc`, `frontend-rules.mdc`). 3. **Add Frontmatter & Instructions** Each file starts with YAML frontmatter: ```yaml --- description: Core project guidelines globs: ["**/*.ts", "**/*.tsx"] alwaysApply: true --- ``` Then write your detailed instructions below — coding style, folder structure, forbidden patterns, preferred libraries, etc. 4. **Apply & Manage Rules** - Use `alwaysApply` for global rules. - Use `globs` for file-specific activation. - Create rules directly in Chat with `/create-rule` command. - Manage them via Cursor Settings → Rules. |
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}devpresspublished a new post: build-a-password-generator-chrome-extension-in-minutes-with-ai-agents2026/05/16 05:31:57
devpresspublished a new post: build-a-password-generator-chrome-extension-in-minutes-with-ai-agents
2026/05/16 05:31:57
| parent author | |
| parent permlink | tutorial |
| author | devpress |
| permlink | build-a-password-generator-chrome-extension-in-minutes-with-ai-agents |
| title | Build a Password Generator Chrome Extension in Minutes with AI Agents |
| body | Want to create your own useful Chrome extension without spending hours coding? With **AI agents** (like Cursor), you can build a fully functional **Password Generator Chrome Extension** in record time. This tool generates strong, customizable passwords on demand — perfect for developers, productivity enthusiasts, or anyone who values online security. ### Why Build It with AI? AI coding tools handle the heavy lifting — creating manifest files, popup UI, JavaScript logic, and even styling — while you guide the process with natural language prompts. It’s fast, educational, and lets you focus on customization. https://www.youtube.com/watch?v=7BhW2HQeI2o ### Step-by-Step Guide 1. **Set Up Your Project** Create a new folder for your extension. Open it in Cursor (or your preferred AI coding tool). Add project rules for Chrome extension best practices (Manifest V3, clean code, etc.). 2. **Prompt the AI Agent** Use a detailed prompt like: “Build a modern Password Generator Chrome Extension. Include options for password length (8-32), toggles for uppercase, lowercase, numbers, symbols, and a strength indicator. Generate secure random passwords and include a one-click copy button.” 3. **Generate the Files** The AI creates: - `manifest.json` (permissions & popup) - `popup.html` with clean UI - `popup.js` for password logic - Icons and styling (Tailwind or plain CSS) 4. **Load & Test** Go to `chrome://extensions/`, enable Developer Mode, and load your unpacked folder. Test password generation, copy functionality, and refine with follow-up prompts (e.g., “Add dark mode” or “Improve security using crypto API”). ### Key Features You Can Add - Customizable character sets - Password strength meter - History of recent passwords (optional) - Clean, responsive popup design This project is beginner-friendly yet powerful. Building with AI agents dramatically speeds up development while teaching Chrome extension architecture. |
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}devpresspublished a new post: run-powerful-ai-locally-install-ollama-on-ubuntu-linux-complete-guide2026/05/15 08:25:45
devpresspublished a new post: run-powerful-ai-locally-install-ollama-on-ubuntu-linux-complete-guide
2026/05/15 08:25:45
| parent author | |
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| author | devpress |
| permlink | run-powerful-ai-locally-install-ollama-on-ubuntu-linux-complete-guide |
| title | Run Powerful AI Locally: Install Ollama on Ubuntu Linux – Complete Guide |
| body | Want to run large language models like Llama, Gemma, or DeepSeek completely offline on your Ubuntu machine? **Ollama** makes it incredibly easy. It’s a lightweight, open-source tool that lets you download and run powerful AI models locally with simple terminal commands — perfect for privacy, zero API costs, and fast development. https://www.youtube.com/watch?v=MU7biUYcxY4 ### Step-by-Step Installation on Ubuntu 1. **Update Your System** Open the terminal and run: ```bash sudo apt update && sudo apt upgrade -y ``` 2. **Install Ollama** Use the official one-line installer: ```bash curl -fsSL https://ollama.com/install.sh | sh ``` This automatically sets up Ollama and starts the service. 3. **Verify Installation** Check the version: ```bash ollama --version ``` 4. **Download & Run Your First Model** Pull a model (start with smaller ones like `llama3.2` or `phi3` for testing): ```bash ollama pull llama3.2 ollama run llama3.2 ``` Now you can chat directly in the terminal! |
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devpresspublished a new post: design-stunning-landing-pages-in-minutes-with-lovable-ai
2026/05/14 04:35:33
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| body | Tired of spending days (or hiring expensive designers) to create a high-converting landing page? **Lovable AI** is changing the game. This powerful AI app builder lets you generate beautiful, fully functional landing pages just by describing them in plain English — no coding or design skills required. https://www.youtube.com/watch?v=A4S8Khtle9Y ### Why Lovable AI for Landing Pages? Lovable acts like a super-intelligent full-stack engineer. Tell it your vision, and it instantly builds a complete page with modern design, responsive layout, animations, forms, and even backend integrations. Perfect for SaaS products, apps, services, or personal brands. ### Step-by-Step: Build Your Landing Page 1. **Sign Up & Start Fresh** Head to [lovable.dev](https://lovable.dev/) and create a free account. Start a new project. 2. **Craft a Strong Prompt** Be detailed! Example: “Create a modern, clean SaaS landing page for an AI productivity tool. Include hero section with compelling headline, features grid, pricing tiers, testimonials, and a clear email signup form. Use dark mode with vibrant accents, smooth animations, and Tailwind styling.” 3. **Let AI Generate** Lovable builds the full page instantly. You’ll get a live preview with professional design. 4. **Iterate & Customize** Chat with the AI to refine: “Make the hero more bold”, “Add a FAQ section”, “Change colors to blue and white”, or “Integrate MailerLite for the form”. Switch to visual editing or direct code mode for precise tweaks. 5. **Publish** Connect a custom domain, add analytics, and deploy with one click. Your page goes live instantly. |
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2026/05/14 03:22:21
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2026/05/13 04:00:00
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}sbi7upvoted (42.33%) @devpress / build-a-flashcard-app-in-minutes-with-cursor-ai-django2026/05/13 01:40:12
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2026/05/13 01:40:12
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2026/05/12 04:41:21
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devpresspublished a new post: build-a-flashcard-app-in-minutes-with-cursor-ai-django
2026/05/12 04:36:12
| parent author | |
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| permlink | build-a-flashcard-app-in-minutes-with-cursor-ai-django |
| title | Build a Flashcard App in Minutes with Cursor AI + Django |
| body | Want to create a powerful study tool without writing every line of code yourself? **Cursor AI** makes it incredibly easy to build a full-featured **flashcard app** using Django and SQLite. In this workflow, you go from an empty folder to a functional app with user authentication, card decks, review mode, and progress tracking — all powered by intelligent AI prompting. https://www.youtube.com/watch?v=3Uqm11EQ82A ### Why Cursor + Django for Flashcards? Cursor acts like an expert pair programmer. It understands your entire project, follows best practices, and handles Django’s structure (models, views, templates, URLs) efficiently. Django’s maturity makes it perfect for quick, reliable web apps with built-in admin and authentication. ### Step-by-Step Guide 1. **Project Setup** Open your project folder in Cursor. Create a `.cursor/rules.mdc` file with clear instructions: Python/Django version, avoid deprecated libraries, follow Django best practices, and define the entry point. 2. **Define Requirements** Write a detailed prompt describing your app: “Build a flashcard app for studying with user auth, multiple decks, add/edit cards, review mode (flip cards), Kanban/progress view, and SQLite database.” 3. **Let Cursor Build It** Use Composer or Agent mode to run the prompt. Cursor will: - Initialize a Django project - Create models for decks and cards - Set up templates and views - Add Bootstrap/Tailwind styling - Implement login, deck management, and review features 4. **Run & Refine** Run migrations, create a superuser, and start the development server. Cursor can automatically fix errors, add features (like spaced repetition hints), or improve UI when you give follow-up prompts. |
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successgr.withupvoted (3.00%) @devpress / free-llm-power-for-coding-with-baseten-api
2026/05/11 03:52:54
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devpresspublished a new post: free-llm-power-for-coding-with-baseten-api
2026/05/11 03:47:54
| parent author | |
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| permlink | free-llm-power-for-coding-with-baseten-api |
| title | Free LLM Power for Coding with Baseten API |
| body | Looking for a **free or low-cost LLM API** to supercharge your coding workflow? **Baseten** is an excellent inference platform that gives developers access to powerful open-source models through an OpenAI-compatible API. With generous starting credits for new users, you can integrate strong coding models (like DeepSeek, Qwen, Llama variants, and more) directly into VS Code or your favorite IDE. https://www.youtube.com/watch?v=2Bqwe0ZkRTU ### Why Baseten for Coding? - OpenAI-compatible endpoints — works seamlessly with tools like Continue.dev, Cline, or custom scripts. - Access to high-performance models optimized for coding and reasoning. - Pay-per-use with free starter credits — perfect for testing and daily development tasks. - Fast inference and reliable performance for chat completions, code generation, and debugging. ### Step-by-Step: Get Started with Baseten API 1. **Sign Up** Go to [baseten.co](https://www.baseten.co/), create a free account (GitHub or email), and head to the dashboard. 2. **Generate API Key** Navigate to **Settings → API Keys**. Create a new key and copy it safely. Note the base URL: `https://inference.baseten.co/v1`. 3. **Choose Your Model** Browse available Model APIs. Look for cost-effective options suitable for coding (e.g., smaller but capable models like Qwen or DeepSeek variants). New accounts often start with credits to experiment. 4. **Integrate into VS Code** Install extensions like **Continue.dev** or **Kilocode**. Add Baseten as a custom provider: - Paste your API key. - Set the base URL. - Select your preferred model. Start chatting with the AI directly in your codebase for autocompletion, refactoring, or generating new features. |
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"body": "Looking for a **free or low-cost LLM API** to supercharge your coding workflow? **Baseten** is an excellent inference platform that gives developers access to powerful open-source models through an OpenAI-compatible API. With generous starting credits for new users, you can integrate strong coding models (like DeepSeek, Qwen, Llama variants, and more) directly into VS Code or your favorite IDE.\n\nhttps://www.youtube.com/watch?v=2Bqwe0ZkRTU\n\n### Why Baseten for Coding?\n- OpenAI-compatible endpoints — works seamlessly with tools like Continue.dev, Cline, or custom scripts.\n- Access to high-performance models optimized for coding and reasoning.\n- Pay-per-use with free starter credits — perfect for testing and daily development tasks.\n- Fast inference and reliable performance for chat completions, code generation, and debugging.\n\n### Step-by-Step: Get Started with Baseten API\n\n1. **Sign Up** \n Go to [baseten.co](https://www.baseten.co/), create a free account (GitHub or email), and head to the dashboard.\n\n2. **Generate API Key** \n Navigate to **Settings → API Keys**. Create a new key and copy it safely. Note the base URL: `https://inference.baseten.co/v1`.\n\n3. **Choose Your Model** \n Browse available Model APIs. Look for cost-effective options suitable for coding (e.g., smaller but capable models like Qwen or DeepSeek variants). New accounts often start with credits to experiment.\n\n4. **Integrate into VS Code** \n Install extensions like **Continue.dev** or **Kilocode**. Add Baseten as a custom provider: \n - Paste your API key. \n - Set the base URL. \n - Select your preferred model. \n\n Start chatting with the AI directly in your codebase for autocompletion, refactoring, or generating new features.",
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}devpressreceived 0.049 STEEM, 0.049 SP author reward for @devpress / get-free-cohere-llm-api-key-for-ai-coding2026/05/11 03:12:45
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2026/05/11 03:12:45
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}devpresssent 1.000 STEEM to @bdhivesteem- "100253033"2026/05/10 13:50:45
devpresssent 1.000 STEEM to @bdhivesteem- "100253033"
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| permlink | build-laravel-apps-lightning-fast-with-cursor-ai-complete-beginner-friendly-guide |
| title | Build Laravel Apps Lightning-Fast with Cursor AI: Complete Beginner-Friendly Guide |
| body | Tired of spending hours setting up Laravel projects? **Cursor AI** — the powerful AI-native code editor — is revolutionizing how developers create full Laravel applications. In this hands-on approach, you can go from a blank folder to a functional app (like an invoice generator) in minutes by leveraging Cursor’s intelligent agents, rules, and composer features. https://www.youtube.com/watch?v=i0MhjqZtt7U ### Why Use Cursor for Laravel? Cursor combines the familiar VS Code interface with advanced AI (powered by models like Claude) to understand your entire codebase, generate code, fix bugs, and even scaffold complete features from natural language prompts. It’s perfect for rapid prototyping, following Laravel best practices, and boosting productivity dramatically. ### Step-by-Step: Create a Laravel App with Cursor 1. **Setup Cursor & Project Folder** Install Cursor and create/open your project folder. Configure MCP (Multi-Context Protocol) servers for better Laravel integration and enable sequential thinking for complex tasks. 2. **Add Rules & Requirements** Create a `.cursor/rules.mdc` file with Laravel-specific rules (PHP conventions, directory structure, best practices, avoiding deprecated packages). Add a `requirements.md` file detailing your app needs — e.g., authentication, invoice management, PDF export, Blade frontend, and SQLite database. 3. **Let AI Build It** Use Cursor’s agent/composer mode to prompt: “Create a full Laravel application with user auth, client management, and invoice generation with PDF export.” The AI handles `laravel new`, migrations, models, controllers, routes, Blade views, and more. 4. **Refine & Debug** Review generated code, fix minor issues (login pages, dashboard), and iterate with targeted prompts. Cursor excels at maintaining clean structure and Laravel conventions. ### Pro Tips - Use project-specific rules to enforce consistency. - Combine with Laravel Herd or Sail for local development. - Always review AI output — it’s fast but benefits from human oversight. With Cursor, building Laravel apps feels like pair-programming with an expert. Whether you’re creating an invoice system, CRUD apps, or full web platforms, this workflow saves hours and reduces boilerplate frustration. |
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}devpresspublished a new post: master-google-cloud-postgresql-with-dbgate-easy-connection-guide2026/05/09 04:02:54
devpresspublished a new post: master-google-cloud-postgresql-with-dbgate-easy-connection-guide
2026/05/09 04:02:54
| parent author | |
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| author | devpress |
| permlink | master-google-cloud-postgresql-with-dbgate-easy-connection-guide |
| title | Master Google Cloud PostgreSQL with DBGate: Easy Connection Guide |
| body | Managing databases in the cloud just got simpler. DBGate, a powerful, user-friendly, open-source database client, makes connecting to **Google Cloud SQL for PostgreSQL** straightforward — even for beginners. Whether you're a developer, data analyst, or DevOps professional, this combo lets you query, import/export data, and manage your cloud database efficiently without complex setups. https://www.youtube.com/watch?v=E-Xc9VkjJvI ### Step-by-Step: Create & Connect PostgreSQL on Google Cloud 1. **Set Up Cloud SQL Instance** In the Google Cloud Console, navigate to **SQL** under Databases. Choose **Create Instance** → **PostgreSQL**. - Give it a unique Instance ID. - Set a strong password for the `postgres` user. - Select the latest PostgreSQL version. - Choose **Development** (light resources) or **Production** based on your needs. - Pick a region/zone close to you and configure machine type, storage (SSD recommended), and networking. - Enable Public IP and add your IP (or `0.0.0.0/0` for testing). Download the SSL certificate from the **Security** tab. 2. **Install & Configure DBGate** Download DBGate (desktop or web version) from the official site. Create a new connection: - Select **PostgreSQL** as the type. - Enter the Cloud SQL Public IP address and default port `5432`. - Use `postgres` as username and your chosen password. - Enable **SSL** and upload the downloaded certificate files. - Test the connection — it should succeed quickly! |
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devpresspublished a new post: create-professional-clips-with-adobe-firefly-and-google-veo
2026/05/08 04:30:24
| parent author | |
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| author | devpress |
| permlink | create-professional-clips-with-adobe-firefly-and-google-veo |
| title | Create Professional Clips with Adobe Firefly and Google Veo |
| body | Head to Adobe Firefly and navigate to the video generation section. You’ll find a range of AI models, including Veo (alongside options like Runway or Firefly’s native tools). Select Veo for its impressive realism, natural motion, and cinematic quality. Choose your aspect ratio—perfect for vertical (9:16) social media videos—and set duration (typically 3–8 seconds depending on the model variant like Veo 3.1 or Veo 3.1 Fast). https://www.youtube.com/watch?v=HiqV3IVAVf8 ### Key Features and Tips - **Text-to-Video**: Turn ideas into motion instantly. Veo excels at realistic physics, foliage movement, and atmospheric effects. - **Image-to-Video**: Upload a still image as a base and animate it for greater control. - **Settings**: Adjust resolution (up to 1080p), enable audio if available, and experiment with models for speed vs. quality trade-offs. - **Editing**: Use Firefly’s timeline tools to combine clips, add text, transitions, or generate additional b-roll. ### Practical Considerations Video generation is credit-based. Shorter, lower-resolution clips use fewer credits, while premium settings consume more. Free or trial credits are available, with paid plans offering higher monthly limits. Results are often downloadable as MP4 files ready for social platforms or further editing in Premiere Pro. Adobe Firefly’s integration with Veo democratizes professional video creation. With practice, you can produce eye-catching ads, reels, or storytelling visuals in minutes. Start experimenting today—your next viral clip could be just one prompt away! |
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2026/05/07 03:27:30
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2026/05/07 03:27:21
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devpresspublished a new post: install-and-setup-opencode-cli-on-ubuntu-linux-powerful-terminal-ai-coding-agent
2026/05/07 03:22:21
| parent author | |
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| author | devpress |
| permlink | install-and-setup-opencode-cli-on-ubuntu-linux-powerful-terminal-ai-coding-agent |
| title | Install & Setup OpenCode CLI on Ubuntu Linux – Powerful Terminal AI Coding Agent |
| body | Want a fast, open-source AI coding assistant directly in your terminal? **OpenCode** is a powerful AI coding agent that brings Claude Code-like capabilities to your Ubuntu machine — completely model-agnostic and privacy-focused. OpenCode features a beautiful **Terminal User Interface (TUI)**, supports 75+ LLM providers (including free models), LSP integration, custom agents, and works seamlessly for code generation, debugging, refactoring, and complex development tasks. https://www.youtube.com/watch?v=amWj9DdMrZo In this step-by-step Ubuntu tutorial, you’ll learn how to: - Install OpenCode using the easiest one-line curl command: `curl -fsSL https://opencode.ai/install | bash` - Alternative methods: npm, bun, or downloading .deb package - Configure API keys for your preferred models (free options available) - Launch the TUI with `opencode` command - Initialize projects with `/init` - Use built-in commands for chatting, editing files, running agents, and more - Customize themes, plugins, and settings Perfect for developers who love working in the terminal. Whether you're building scripts, working on large projects, or need quick AI assistance without switching tools, OpenCode turns your terminal into a smart coding companion. The setup is quick, lightweight, and gives you full control over which models you use. |
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2026/05/06 05:21:36
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| permlink | build-your-own-website-blocker-chrome-extension-using-ai-no-advanced-coding-needed |
| title | Build Your Own Website Blocker Chrome Extension Using AI – No Advanced Coding Needed |
| body | Want to boost your productivity and eliminate distractions? Learn how to create a **custom Website Blocker Chrome Extension** entirely with the help of AI in just a few minutes. This beginner-friendly project shows you how to use powerful AI tools (like Grok, Claude, or ChatGPT) to generate, refine, and debug the complete code for a fully functional website blocker. Block distracting sites like YouTube, Instagram, Twitter/X, or any custom list during work hours. https://www.youtube.com/watch?v=Bl9L1uxGqWg In this step-by-step tutorial, you’ll discover how to: - Plan the extension features with AI (blocklist, timer, custom messages, statistics) - Generate the complete **manifest.json**, background scripts, popup UI, and content scripts using AI prompts - Implement website blocking logic and exception rules - Design a clean popup interface for adding/removing sites - Package, load, and test the extension in Chrome Developer Mode - Add bonus features like focus mode, scheduled blocking, and motivational messages The entire process is beginner-friendly. Even if you’ve never written Chrome extension code before, the AI handles most of the heavy lifting while you learn key concepts along the way. Perfect for students, developers, freelancers, and anyone serious about digital discipline. Once built, you can customize it further and even publish it to the Chrome Web Store. |
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2026/05/05 05:26:12
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devpressreceived 0.052 STEEM, 0.052 SP author reward for @devpress / free-llm-api-for-coding-with-fireworks-ai-quick-and-powerful-setup
2026/05/04 06:01:27
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2026/05/04 03:17:54
| parent author | devpress |
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}successgr.withupvoted (3.00%) @devpress / get-free-cohere-llm-api-key-for-ai-coding2026/05/04 03:17:42
successgr.withupvoted (3.00%) @devpress / get-free-cohere-llm-api-key-for-ai-coding
2026/05/04 03:17:42
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}devpresspublished a new post: get-free-cohere-llm-api-key-for-ai-coding2026/05/04 03:12:45
devpresspublished a new post: get-free-cohere-llm-api-key-for-ai-coding
2026/05/04 03:12:45
| parent author | |
| parent permlink | tutorial |
| author | devpress |
| permlink | get-free-cohere-llm-api-key-for-ai-coding |
| title | Get Free Cohere LLM API Key for AI Coding |
| body | Looking for a strong, reliable LLM for coding with a generous free tier? **Cohere** delivers excellent performance through its **Command** family of models (including Command R, Command R+, and the latest Command A), which are particularly strong at reasoning, tool use, agentic workflows, and code generation. https://www.youtube.com/watch?v=V2tFNWYN8CA Cohere’s API is developer-friendly and works seamlessly with popular tools for AI-assisted development. In this practical tutorial, you’ll learn exactly how to: - Create a free Cohere account in seconds - Access your automatically generated **Trial API key** (no credit card needed) - Copy and securely store the key from the dashboard - Configure the API for use with VS Code extensions like **Continue**, **Kilo Code**, or any custom Python/Node.js script - Select powerful models optimized for coding tasks - Test prompts and monitor your usage limits The free trial key provides meaningful access (typically ~1,000 requests per month with rate limits), making it perfect for students, indie developers, prototyping, learning, and light daily coding assistance. Cohere stands out with strong multilingual support, excellent RAG/tool-calling capabilities, and high-quality code output. Once set up, you can start using Cohere’s models for code completion, debugging, documentation, automation scripts, and building AI agents — all without upfront costs. |
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devpresscustom json: notify
2026/05/04 03:10:21
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devpressreceived 0.052 STEEM, 0.053 SP author reward for @devpress / install-autonomous-ai-agent-locally-openclaw-setup-on-ubuntu
2026/05/03 04:20:45
| author | devpress |
| permlink | install-autonomous-ai-agent-locally-openclaw-setup-on-ubuntu |
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}devpressreceived 0.053 STEEM, 0.053 SP author reward for @devpress / get-free-glm-5-1-api-access-for-powerful-ai-coding-via-modal2026/05/02 05:05:33
devpressreceived 0.053 STEEM, 0.053 SP author reward for @devpress / get-free-glm-5-1-api-access-for-powerful-ai-coding-via-modal
2026/05/02 05:05:33
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2026/05/01 10:12:03
| parent author | devpress |
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| permlink | re-how-to-create-a-postgresql-database-instance-on-google-cloud-sql-20260501t101158 |
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