In January 2025 I released bragdoc.ai, and shortly after launched frameit.dev. Both are hosted AI/SaaS applications but they're also open source if you want to run them yourself or see how they work. Check out bragdoc and frameit on GitHub.
bragdoc.ai is a SaaS application that uses a blend of AI and traditional SaaS technologies to help professionals keep track of all the great work they've done, and automatically generate high quality, evidence-based weekly summaries for your boss or performance review documentation to support your next promotion. It's also completely open source. I blog about it often.
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frameit.dev is a free, open-source tool for creating professional video thumbnails, title cards and social media graphics. Built with React 19 and TypeScript, it provides real-time canvas preview with multi-platform presets for YouTube, TikTok, Twitter and more. No design skills or paid software required - just create, export and share.
Find out moreI've published a few open source projects recently, chiefly react-auto-intl, NarratorAI, ReadNext and InformAI. The RSC Examples project is also open source, and is a collection of examples that show how to use React Server Components, especially in Next JS. See the live RSC Examples site here.
mdx-prompt lets you use JSX to write LLM prompts, giving you the familiarity of React and the power of composability, templating logic, testing and reuse that come from JSX & MDX.
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react-auto-intl uses AI to automatically internationalize and translate your React and Next JS applications. It can reduce days of tedious work to minutes.
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NarratorAI excels at generating pieces of content like "What to Read Next" summaries, blog tag intros, and search result summaries. It's a tool that helps you create AI-powered content for your blog or other content.
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InformAI is a tool that allows AI to access and understand the information in your React components. With InformAI, it's easy to build AI copilots that can see the same screen as the user.
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ReadNext is a tool that creates AI-powered content recommendations for your blog or other content. It uses a combination of natural language processing and machine learning to suggest related content.
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A collection of examples for working with React Server Components. Promises, streaming, server actions, form processing, and AI integration. Uses ReadNext for related example recommendations.
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LANsaver is a NextJS application that helps you back up homelab/home networking equipment like firewalls, managed switches and home assistant installs. Built for me as rebuilding my VLANs would be a PITA.
See live demoRecently, I've been focused on integrating AI into React applications, sharing new tools and techniques that make development smoother. For instance, I've launched NarratorAI: Trainable AI assistant for Node and React, a project designed to enhance user interaction in applications. My exploration of content recommendations continues with ReadNext: AI Content Recommendations for Node JS and AI Content Recommendations with TypeScript, where I discuss leveraging AI to improve user experiences.
Additionally, I've been diving into practical uses of React Server Components, with articles like Error handling and retry with React Server Components and Promises across the void: Streaming data with RSC. Each of these posts reflects my ongoing commitment to utilizing open-source technologies for better development practices.
Introducing frameit.dev - a free, open source tool for creating professional thumbnails and social media graphics
Writing and running great Evals for your JSX-rendered LLM Prompts
LLMs use strings. React generates strings. We know React. Let's use React to render Prompts
LLMs use strings. React generates strings. We know React. Let's use React to render Prompts
Embrace the power of AI tooling, or embrace your own destruction!
My new Narrator AI library writes content around your content so you don't have to - intros, outros and more