DEV Community: Chirantan Patra

I tried 4 Video Editing Agents

Chirantan Patra — Sun, 25 Oct 2026 21:05:19 +0000

Hey friends, the video editing world is getting a fun new twist. AI agents are learning to cut footage, and a bunch of tools are racing to make that happen. Let me start with Filmidi, since that is the one I know best, and then tour the rest.

Filmidi

Filmidi is the native one, aiming for Premiere level depth with agent drivability. It runs on Mac, Windows, and Linux, with hardware acceleration on Apple Silicon and a growing library of editable motion templates.

What I like: Free to use. Full NLE depth, fast native performance, and motion graphics you can edit by hand or by agent.
What I find tricky: it is still young, with a few gaps like HEVC export and plugins, But the developers are working on it.

Palmier

Palmier is a macOS native editor that feels like a friendly cousin of Premiere, but with AI generation built right into the timeline. You can ask Claude or Codex to make edits, generate images or video, and export to FCP or Resolve when you are done.

What I like: it is fast on Mac, the generative features are genuinely useful, and you are never locked in.
What I find tricky: it is Mac only.

Vyra

Vyra lives in your browser and edits your real footage from a plain text description. No install,Just log in and edit right in the browser. It is aimed at people who want a finished video without learning a timeline.

What I like: zero setup, and great for non editors.
What I find tricky: less precision for frame level work, and everything runs in the cloud so big projects can feel slow.No free tier.

Diffusion Studio

Diffusion Studio is the open source one, and it is basically the VS Code of video editing. Every edit is code, so your agent can drive it from the terminal and you can review the diff like a pull request.

What I like: it is free, open source, and wonderfully agent friendly.
What I find tricky: writing JSX for a simple cut can feel like overkill, and it is lighter on broadcast color and audio mixing.

Tool	Platform	Agent support	Motion graphics	Standout feature	Main gap	Best for
Filmidi	Mac only(Windows,Linux in waitlist)	Commands and MCP	Editable templates, agent or manual	Native NLE depth with GPU acceleration	HEVC export and plugins	Native depth and motion graphics
Palmier	Mac only	MCP for Claude and Codex	Basic, via generative media	Generative images and video in timeline	Mac only, heavy UI	Mac users wanting generative media
Vyra	Browser	Chat and hosted MCP	Templates from prompts	Zero setup	Less precision, cloud only	Quick cuts for non editors
Diffusion Studio	Mac, Windows, Web	Terminal and many agents	Code driven scenes	Open source, code first workflow	JSX verbose for simple cuts	Openness and code first workflows

The friendly takeaway

Honestly, there is no single winner and that is okay. Filmidi is great if you want native depth and motion graphics. Palmier is great for Mac users who want generative media. Vyra is perfect for quick browser cuts. Diffusion Studio wins on openness and code first workflows. Try them, see which one clicks, and have fun editing.

Teleglot: Your AI Meeting Co-Pilot

Chirantan Patra — Mon, 15 Sep 2025 06:30:42 +0000

This is a submission for the Google AI Studio Multimodal Challenge
What I Built

Teleglot is a next-generation meeting productivity platform that acts as an intelligent participant in video calls. It solves the universal problems of unproductive meetings: lack of engagement for non-native speakers, unclear outcomes, and the tedious task of note-taking. Teleglot provides real-time transcription, AI-powered summarization, live translation for global teams, and an AI co-pilot that offers the host real-time, private suggestions to guide the conversation toward a productive conclusion. It transforms passive meetings into active, actionable, and inclusive collaboration sessions.
Demo

Live Demo Link

Screenshots / Video:
Link to Video

Export PDF/Notes to Notion

A meeting with live transcription and translation toggles.
```
The AI Co-Pilot sending a real-time suggestion to the host.
```
The final summary and action items being generated and displayed at the end.

The live meeting interface showing real-time transcription and language translation options.

The detailed meeting summary and extracted action items generated automatically after the call.

How I Used Google AI Studio

Teleglot is built entirely on the powerful multimodal capabilities of Google AI Studio and the Gemini API. The application leverages Gemini as its core AI engine for understanding and generating content:

Gemini 2.5 Flash(gemini-2.5-flash): Used for its low-latency performance to power the real-time transcription and live translation features, ensuring smooth, conversational-speed processing.



Live API (Gemini 2.5 Flash Live Preview): This critical feature enables the Real-time Co-pilot functionality. It maintains a stateful, streaming conversation with the meeting host, allowing the AI to analyze the live transcript and provide contextual, private suggestions without interrupting the flow of the meeting.

The prompts were meticulously engineered within AI Studio to ensure structured JSON outputs, making the integration with our backend seamless and reliable.
Multimodal Features

Teleglot's power comes from its deep integration of multiple modalities, creating a cohesive and intelligent user experience:

Audio + Text Understanding (Live Transcription & Translation): This is the foundation. Teleglot processes raw audio into text (speech-to-text) and then uses Gemini's NLP capabilities to translate that text into multiple languages in real-time, breaking down language barriers instantly.

Audio + Text Understanding (Post-Meeting Analysis): This is the most advanced feature. Using Gemini 2.5 Pro, Teleglot doesn't just analyze the transcript. It processes the full meeting recording—audio, video, and any shared screen content—to achieve a human-level understanding of the context. This allows it to:

    Identify key decisions based on visual cues like slides and verbal agreement.

    Accurately assign action items by understanding who volunteered for a task.

    Gauge overall meeting sentiment more effectively than text-alone analysis.

Real-Time Text Analysis (AI Co-Pilot via Live API): This feature enhances the live meeting experience. The Co-Pilot continuously analyzes the live text transcript (a fusion of audio understanding and text generation) to act as a strategic partner for the host. It provides suggestions like "The team has spent 10 minutes on this topic. Suggest putting it in the parking lot?" or "Maria asked a question that wasn't fully answered." This turns the AI from a passive tool into an active facilitator.

Why it enhances the experience: By combining these modalities, Teleglot moves far beyond a simple note-taker. It creates a meeting environment that is more inclusive (live translation), more efficient (automatic summaries), and more guided (AI Co-Pilot), ultimately ensuring that time spent in meetings is productive and actionable for everyone involved.

Exciting New Features in Tailwind CSS v4.0 and How to Migrate Your Project

Chirantan Patra — Wed, 29 Jan 2025 17:20:37 +0000

What to Get Excited About in Tailwind CSS v4.0 and How to Migrate

Tailwind CSS has always been known for its utility-first approach, making web development faster and more efficient. With the release of Tailwind CSS v4.0, the framework is evolving, and it brings a host of exciting new features and improvements to the table. Whether you're a seasoned user or just getting started, v4.0 promises to make your development experience smoother, faster, and more flexible.

Here’s what you can look forward to in Tailwind CSS v4.0, along with a guide to help you migrate your existing projects seamlessly.

What’s New in Tailwind CSS v4.0

High-Performance Engine

Tailwind CSS v4.0 has undergone a complete rewrite of its core engine. This has led to significant performance improvements:
- Faster Builds: Full rebuilds are over 3.5 times faster, and incremental builds are over 8 times faster.
- Reduced Bundle Size: The installed package size has decreased by 35%, meaning faster load times and less bloat in your project.
Simplified Installation

Getting started with Tailwind CSS is now easier than ever:
- Installation: You can install Tailwind with just:
```
 npm install tailwindcss @tailwindcss/postcss
```

PostCSS Plugin: Simplified configuration with PostCSS:

 // postcss.config.js
 export default {
   plugins: ["@tailwindcss/postcss"],
 };

CSS Import: Forget about @tailwind directives. Simply import Tailwind into your stylesheets:
```
 /* styles.css */
 @import "tailwindcss";
```

CSS-First Configuration

Tailwind v4.0 moves its configuration process from JavaScript to CSS:
- You can now define your customizations directly in your CSS file, making everything more intuitive and seamless.
```
 /* styles.css */
 @import "tailwindcss";

 @theme {
   --font-display: "Satoshi", "sans-serif";
   --breakpoint-3xl: 1920px;
   --color-avocado-100: oklch(0.99 0 0);
 }
```
Automatic Content Detection

Tailwind CSS v4.0 has an automatic content detection feature. It scans your project files to identify templates, so you no longer have to manually configure the content array. This makes the setup process a lot smoother.
Modernized Color Palette

The default color palette has been updated to use the oklch color model, offering more vivid and accurate colors with a wider color gamut.
Dynamic Utility Values and Variants

Tailwind v4.0 introduces new features that make your styles more dynamic:
- Custom Grids: You can now define custom grid layouts, such as grid-cols-15.
- Data Attribute Variants: These allow for styling based on data attributes, such as data-current:opacity-100.

How to Migrate to Tailwind CSS v4.0

If you're upgrading an existing project to v4.0, you’ll want to ensure a smooth transition. Luckily, Tailwind CSS has a migration tool to automate most of the changes, saving you time and effort. Here’s how to do it:

Use the Migration Tool
- Tailwind provides an upgrade tool that helps migrate your project to v4.0:
```
 $ npx @tailwindcss/upgrade@next
```

This tool will update your dependencies, migrate your configuration files, and adapt your template files. It’s recommended to run the tool in a separate Git branch for easy comparison of changes.

Manual Changes and Key Updates

Some updates in v4.0 may require manual intervention. Here are the most notable changes:
- No More @tailwind Directives: The old @tailwind base; and similar directives are gone. Replace them with:
```
 @import "tailwindcss";
```

Utility Class Changes: Some utility classes have been renamed for better consistency:
- bg-opacity-* is now replaced with bg-black/50.
- flex-shrink-* has been replaced by shrink-*.
- overflow-ellipsis is now text-ellipsis.
Class Renaming for Sizes: Some sizes have been renamed for clarity. For example, shadow-sm is now shadow-xs:
```
 <input class="shadow-xs" />
```

New APIs for Custom Utilities The @utility API replaces the older @layer utilities for more structured and clear utility management:

   @utility margin-auto {
     margin: auto;
   }
   @utility flex-center {
     display: flex;
     justify-content: center;
     align-items: center;
   }

Improved Build Tools

Vite Plugin: Tailwind now offers a dedicated plugin for Vite, providing better performance and an improved development experience:

 import { defineConfig } from "vite";
 import tailwindcss from "@tailwindcss/vite";

 export default defineConfig({
   plugins: [
     tailwindcss(),
   ],
 });

Standalone CLI: The Tailwind CLI has been moved to a dedicated package:
```
 npx @tailwindcss/cli -i input.css -o output.css
```

Base Style Updates
- Default border color is now aligned to currentColor.
- Placeholder color is now at 50% opacity of the current text color.
- If you need the v3 behavior for placeholder colors, you can override it in your CSS:
```
 @layer base {
   input::placeholder {
     color: theme(--color-gray-400);
   }
 }
```

Tips for a Successful Migration

Use the Migration Tool: Tailwind’s upgrade tool automates most of the changes and simplifies the migration process.
Test Thoroughly: Always test your project in a browser after the migration to ensure everything works as expected.
Consult the Documentation: While the tool handles most changes, some adjustments may require manual intervention. Always refer to the official documentation for detailed guidance.

Conclusion

Tailwind CSS v4.0 introduces a wealth of new features and performance improvements that make it an even more powerful tool for developers. With faster builds, a modernized color palette, and simplified configuration, v4.0 is a major upgrade. The migration tool will make the transition easier, but be sure to take time to test and adjust your project as needed. Whether you’re building new projects or upgrading existing ones, v4.0 is something to get excited about!

If you need any help with the migration or have questions about the new features, feel free to ask!

ZenHaven - Your Personalised AI-Powered Meditations

Chirantan Patra — Mon, 20 Jan 2025 07:26:44 +0000

This is a submission for the GitHub Copilot Challenge: New Beginnings
What I Built
I built an AI-powered app that helps users generate and customize meditation sessions based on their moods, needs, and goals. The app uses AI to create tailored meditation experiences, allowing users to engage in personal growth and mental well-being. The customization process takes into account individual preferences, mood states, and life transitions, making meditation more personalized and relevant for each user. The AI adjusts elements like ambient sounds, voice tones, and session length according to users' specific requirements, fostering a deeper and more meaningful meditation experience.

GitHub Repository
(Include the link to your GitHub repository where the code for your project is hosted)

The deployed link could not be provided due to build errors.JUDGES PLEASE- Open the repo to know how to run the app. I apologize for the inconvenience

The meditations dashboard-

[The meditation audio can be downloaded by clicking the download latest audio button.]

generations page-

Using GitHub Copilot in My Development Process
GitHub Copilot was a crucial tool throughout the development of my app, significantly enhancing my productivity. I used the autocomplete feature to quickly generate code for tasks like API integrations and managing meditation sound logic. The Copilot chat function also helped me explore different approaches to challenges, like dynamic audio paths and user preferences, saving me hours of manual coding.

Copilot's real-time suggestions helped me maintain clean, efficient code, especially when working on complex logic for customizing meditation sessions. It reduced time spent on repetitive tasks, allowing me to focus more on building the core features of the app.

GitHub Models
I didn’t use GitHub’s LLM models in this project, but Copilot was incredibly helpful for writing efficient code and integrating APIs and custom AI logic.

Conclusion
This project allowed me to combine my passion for mental well-being with technology. GitHub Copilot reduced development time and improved code quality, enabling me to create a unique meditation app that adapts to users' needs. Copilot was an invaluable tool, helping me focus on delivering a product that promotes better mental health and productivity.