AI has changed how we tackle software development today. It can create smooth algorithms, draft detailed functions from just a prompt, and even design entire applications. Developers now have strong tools like Cursor and Windsurf that help them work quicker and think smarter. But amidst this revolution, one stubborn problem has persisted, a bottleneck that has kept developers tethered to the old way of doing things: fixing existing code.
For the last six months, our team at Webvizio has been obsessed with this single challenge. We kept wondering: if AI can create code so well why does it struggle so much with debugging and fixing existing code?
We realized the answer isn’t complicated at all. It all comes down to one thing—context.
AI models, for all their power, are like brilliant but amnesiac assistants. They can perform incredible feats of logic and creation, but they lack the institutional knowledge of your project. They don’t understand the intricate web of dependencies, the history of a particular feature, or the specific environment in which your code operates. If you ask AI to fix a bug, it gives basic advice that doesn’t quite fit because it doesn’t see the whole situation.This is the context gap, and it’s the reason why so much of a developer’s time is still spent on tedious back-and-forth, manual data gathering, and trial-and-error.
Our First Step: Bridging the Gap with Visual Feedback
We first tackled this problem with the launch of our browser extension. We wanted to make bug reporting as seamless and context-rich as possible. Instead of lengthy emails, messy spreadsheets, and ambiguous descriptions, we empowered teams to report issues visually. With the Webvizio extension, designers, project managers, and clients could simply point, click, and comment directly on live web elements.
This was a huge leap forward. It not only streamlined the reporting process but also let us collect key technical details like browser version, OS, browser logs, console errors, user actions, and more. Everything was bundled into an organized, AI-compatible prompt. This gave the AI a running start, a base level of context to operate from. Yet, we realized there was still room to improve. We aimed to bridge the context gap.
The Next Evolution: Introducing Webvizio MCP
We are excited to share a big leap in our efforts to change how debugging is done. Meet Webvizio MCP (Model Context Protocol), a tool designed as a universal connector to give your AI coding assistant all the context it needs to fix bugs in minutes instead of hours.
Webvizio MCP is the bridge that was missing between your development environment and your AI assistant. It’s a secure, self-hosted server that allows your AI to communicate directly with our API, giving it access to the same rich, contextual data that you see in your Webvizio dashboard. It’s not just about crafting better prompts but about creating a real-time and dynamic connection between your AI and your codebase.
The New Workflow: A Seamless Transition from Reporting Issues to Implementing Fixes
So how does it play out? We’ve boiled down the whole debugging journey into five straightforward steps that are easy to follow:
1️⃣ Report: Point, Click, and It’s Done It all starts with our intuitive reporting system. Anyone on your team—from QA testers to non-technical stakeholders—can identify a bug on a live website or web application and report it with a simple click. No more lengthy forms or confusing jargon. Just point to the problem, add a brief description, and you’re done.
2️⃣ Collect: The Perfect AI Prompt, Every Time The moment a report is submitted, Webvizio gets to work. It instantly gathers all the essential technical data: CSS selectors, console logs, user environment details, and more. All of this information is then compiled into a comprehensive, perfectly structured prompt, ready for your AI assistant.
3️⃣ Connect: Your AI’s Direct Line to Your Code This is where the MCP server comes into play. Instead of you having to manually copy and paste information, the MCP allows your AI assistant of choice—be it a custom-built agent or a popular tool like ChatGPT—to connect directly to the Webvizio API. This secure connection is the key to unlocking real-time, contextual debugging.
4️⃣ Solve: From Incomplete Picture to Full Context With the MCP connection established, your AI is no longer working with a static, one-time prompt. It can now query the Webvizio API for more information, pull in relevant data, and get the complete picture of the problem at hand. It can see the code, understand the environment, and analyze the user’s interactions. This deep, contextual understanding allows the AI to diagnose the root cause of the bug and generate an accurate, effective solution almost instantly.
5️⃣ Approve: The Final Say is Still Yours The AI proposes the fix, but you’re still in the driver’s seat. You can review the suggested code changes right within your AI chat interface. If everything looks good, you simply approve the fix. No more switching between multiple applications or manually applying patches. It’s a seamless, integrated experience from start to finish.
The Outcome: A Fresh Wave of Productivity
This new workflow changes everything. Giving your AI the missing context removes the common roadblocks developers have faced during debugging for years. Fixing code becomes faster because lengthy back-and-forth communication and annoying delays no longer slow things down.
This isn’t just a faster way to work; it’s a smarter way to work. It frees up your developers to focus on what they do best: building innovative features and creating exceptional user experiences.
See It in Action and Get Started Today
This might sound too good to believe, but we’ve put together a quick video that explains how impressive Webvizio MCP is.
Watch the demo
Ready to bring the power of AI-driven debugging to your team? Here’s how you can get started:
- Download our browser extension: https://chromewebstore.google.com/detail/webvizio-website-feedback/dpgepcgkiaafcpjnficbigmdmeabhndk
- Install the MCP server: https://webvizio.com/help-center/mcp-server/
We feel proud of what we created, and we think Webvizio MCP could transform how teams of any size approach development. Coding’s future is about working together, using context, and having AI at the core. We welcome you to help shape this future solving one development task at a time.
