Core Problem

Fynix was initially available only as a VS Code plugin, making it accessible primarily to developers already familiar with coding tools. This limitation prevented the product from reaching its full potential and delivering value to a wider range of users.

Fynix was initially available only as a VS Code plugin, making it accessible primarily to developers already familiar with coding tools. This limitation prevented the product from reaching its full potential and delivering value to a wider range of users.

Business Goals

Increase traffic on Fynix platform by introducing a new entry point

Increase traffic on Fynix platform by introducing a new entry point

Develop use cases where Fynix can be utilized by all, regardless of coding expertise

Develop use cases where Fynix can be utilized by all, regardless of coding expertise

Allow developers to multitask without disrupting their workflow

Allow developers to multitask without disrupting their workflow

Understanding Fynix

Fynix offers AI native products designed to make software development more efficient and enjoyable. Fynix Copilot offers real-time coding assistance directly in your IDE, while the Code Quality Agent automates pull request reviews for faster, cleaner code integration.

Fynix offers AI native products designed to make software development more efficient and enjoyable. Fynix Copilot offers real-time coding assistance directly in your IDE, while the Code Quality Agent automates pull request reviews for faster, cleaner code integration.

Understanding Current Space

As AI tools evolve, we’ve been tracking emerging patterns to keep Fynix ahead of the curve. After discussions with product and engineering teams, we decided to reposition Fynix as an engineering-focused platform, a place where both new and experienced developers can ideate and build.


Instead of limiting Fynix to a VS Code plugin, we’re launching it as a standalone chat interface with an optional VS Code extension. This shift makes Fynix more accessible, relevant, and useful for a broader audience.

As AI tools evolve, we’ve been tracking emerging patterns to keep Fynix ahead of the curve. After discussions with product and engineering teams, we decided to reposition Fynix as an engineering-focused platform, a place where both new and experienced developers can ideate and build.


Instead of limiting Fynix to a VS Code plugin, we’re launching it as a standalone chat interface with an optional VS Code extension. This shift makes Fynix more accessible, relevant, and useful for a broader audience.

Listening to the user

Through three rounds of surveys, we set out to understand which tools users rely on apart from Fynix, their experiences and challenges when using the product, what they value in competing solutions, and the details of their everyday workflows.

Through three rounds of surveys, we set out to understand which tools users rely on apart from Fynix, their experiences and challenges when using the product, what they value in competing solutions, and the details of their everyday workflows.

We need docstring functionality in the UI, it often takes too long to understand what the code is doing.

"During development, constantly switching between different parts of the code can slow us down."

"During development, constantly switching between different parts of the code can slow us down."

"It’s hard to find the right string without proper navigation, we end up scrolling a lot."

"It’s hard to find the right string without proper navigation, we end up scrolling a lot."

"Now there are so muny models, I'm not sure which models to use and when"

"Now there are so muny models, I'm not sure which models to use and when"

Proposed Improvements

After user interviews and stakeholder workshops, we created journeys in which Fynix becomes a chat-based assistant powered by 5+ language models. It automatically recommends the best model for beginners, lets developers get new prompts through a built-in library, and serves as a private coding partner.


Each journey ends with a one-click export to VS Code, so teams can move from idea to runnable code without friction bringing AI into their everyday workflow.

After user interviews and stakeholder workshops, we created journeys in which Fynix becomes a chat-based assistant powered by 5+ language models. It automatically recommends the best model for beginners, lets developers get new prompts through a built-in library, and serves as a private coding partner.


Each journey ends with a one-click export to VS Code, so teams can move from idea to runnable code without friction bringing AI into their everyday workflow.

Setting up AI Principles

Using Mantine System

Mantine’s extensive design system, theme flexibility, and active community remove weeks of UI groundwork and let the team focus on the real differentiator: multi-model AI interface. Choosing Mantine keeps WCAG-friendly foundation, accessible, and future proof

Mantine’s extensive design system, theme flexibility, and active community remove weeks of UI groundwork and let the team focus on the real differentiator: multi-model AI interface. Choosing Mantine keeps WCAG-friendly foundation, accessible, and future proof

Say Hi to the New Fynix with light and dark modes

Welcome to Fynix’s new chat interface now with multiple models, built-in web search, and media uploads. Pick a prompt from the library and go from idea to output in minutes

Welcome to Fynix’s new chat interface now with multiple models, built-in web search, and media uploads. Pick a prompt from the library and go from idea to output in minutes

Handeling multiple code blocks

Inspired by browser tabs, Fynix now lets you hop between code blocks or folders efficiently, while inline editing and smart docstrings make reviewing and documenting code easy

Inspired by browser tabs, Fynix now lets you hop between code blocks or folders efficiently, while inline editing and smart docstrings make reviewing and documenting code easy

Web Searching

Research and coding, all in one place Fynix spots what you’re searching, suggests the right model, and even understands what’s on your screen

Research and coding, all in one place Fynix spots what you’re searching, suggests the right model, and even understands what’s on your screen

Made for Every Screen

Research and coding, all in one place Fynix spots what you’re searching, suggests the right model, and even understands what’s on your screen

Research and coding, all in one place Fynix spots what you’re searching, suggests the right model, and even understands what’s on your screen

Core Problem

Fynix was acting as a VS Code plugin and is accessible only to developers familiar with coding tools, preventing the product from reaching its full potential and benefiting all users

Business Goals

Increase traffic Fynix plugin for with a new entry point

Develop a usecase where Fynix can be utilised by all

Give developers freedom to multitask at the same time

Understanding Fynix

Fynix offers AI native products designed to make software development more efficient and enjoyable. Fynix Copilot offers real-time coding assistance directly in your IDE, while the Code Quality Agent automates pull request reviews for faster, cleaner code integration

Understanding Current Space

As tools evolve, we’ve been closely tracking AI patterns to keep Fynix ahead of the curve. After discussions with the product and engineering teams, we decided to reposition Fynix as an engineering-focused platform a space where developers, both new and experienced, can ideate and build.

Instead of limiting Fynix to a VS Code plugin, we’re launching it as a standalone chat interface with an optional VS Code extension. This shift makes Fynix more accessible, relevant, and useful for a broader audience.

Listening to the user

Throught the series of 3 surveys we tried to dig upon what tools they are using apart from fynix.What is their experience when using fynix what they like in other prodeucts and overall deeply understand their day to day workflow

"We need docstring functionality in the UI, as it often takes significant time to understand what the code is doing."

"During development, constantly switching between different parts of the code can slow us down."

"It’s hard to find the right string without proper navigation, we end up scrolling a lot."

"Now there are so muny models, I'm not sure which models to use and when"

Proposed Improvements

After user interviews and stakeholder workshops, we created journeys in which Fynix becomes a chat-based assistant powered by 5+ language models. It automatically recommends the best model for beginners, lets developers get new prompts through a built-in library, and serves as a private coding partner. Each journey ends with a one-click export to VS Code, so teams can move from idea to runnable code without friction bringing AI into their everyday workflow.

Setting up AI Principles

Using Mantine System

Mantine’s extensive design system, theme flexibility, and active community remove weeks of UI groundwork and let the team focus on the real differentiator: multi-model AI interface. Choosing Mantine keeps WCAG-friendly foundation, accessible, and future proof

Say Hi to the New Fymix with light and dark modes

Welcome to Fynix’s new chat interface now with multiple models, built-in web search, and media uploads. Pick a prompt from the library and go from idea to output in minutes

Impact Fynix Created

Coming Next