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rezolution.si
Turn customers into your QA team, rezolution.si turns their feedback into fixes
About the project
rezolution.si — Turn Your Customers Into Your QA Team
Your customers find the bugs. rezolution.si finds the fixes.
The Problem
Startups move fast. They ship features, iterate rapidly, and sometimes, things break.
But when customers encounter a problem, they don’t send stack traces or technical reports. They simply say, “Hey, something isn’t working.”
What follows is a tedious cycle of back-and-forth communication, bug reproduction, log investigation, debugging, code fixes, and customer follow-ups.
Even with powerful developer tools, there’s still a disconnect between what customers experience and what engineering teams need to fix.
Our Solution
rezolution.si is an AI-powered customer-to-engineering platform that transforms everyday customer complaints into investigated bugs, proposed code fixes, and verified resolutions.
Customers report issues directly through Telegram using plain English, screenshots, or attachments. From there, rezolution.si orchestrates AI agents to investigate the problem, reproduce the bug, identify its root cause, and propose a fix.
Developers stay in control of code changes, while customers remain informed throughout the resolution process.
How It Works
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Report: Customers describe issues through Telegram without needing technical knowledge or access to developer tools.
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Reconstruct: AI agents gather relevant application context, user activity, logs, and telemetry to understand what happened.
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Reproduce: A computer-use agent interacts with the application to reproduce the reported issue and observe the faulty behavior.
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Diagnose: Using Sentry’s observability capabilities and source-code analysis, the system investigates the likely root cause.
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Fix: A coding agent generates a proposed solution, runs relevant tests, and creates a GitHub pull request for developer review.
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Track: Customers can check the status of their reported issues directly through Telegram.
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Resolve: Once a fix is approved, deployed, and verified, rezolution.si automatically notifies the customer.
What Makes Us Different?
Traditional debugging tools start with errors. We start with the customer.
Not every bug throws an exception. Incorrect calculations, broken workflows, unexpected application behavior, and business-logic errors can go unnoticed by conventional error monitoring.
rezolution.si connects customer-reported problems with the engineering systems capable of diagnosing and resolving them.
By combining Telegram, AI-powered computer use, Sentry observability, coding agents, and GitHub, we create a continuous feedback-to-fix workflow.
Rather than simply creating another support ticket, we turn customer feedback into actionable engineering work.
Our Vision
We believe customers shouldn’t just use a product. They should have a direct way to influence how it improves.
Our goal is to make customer feedback a natural part of the development lifecycle—reducing manual investigation, accelerating issue resolution, and building trust through transparent communication.
Turn customers into your QA team. Let AI investigate. Keep developers in control.
From “something’s broken” to “it’s fixed” — powered by rezolution.si.
Built with
AI tools
Prize Categories Entered
- Event prizeSubmitted
Best Overall
rezolution.si turns customers into your QA team, transforming their feedback into AI-powered code fixes. For startups, every bug means lost engineering time, frustrated customers, and potential revenue loss. Today, handling customer-reported issues involves manual investigation, debugging, and constant follow-ups. rezolution.si automates this workflow—from a simple Telegram complaint to root-cause analysis, a GitHub PR, and customer notification. By combining Sentry, AI agents, and computer-use automation, we reduce the manual effort required to resolve issues while keeping developers in control. The business value is simple: lower support costs, faster resolutions, less engineering overhead, and stronger customer retention. We're not just building another debugging tool. We're building a scalable customer-to-engineering feedback loop that helps startups ship faster without sacrificing customer trust.
- Event prizeSubmitted
Sentry Raffle
rezolution.si turns customer complaints into AI-powered code fixes using Sentry. Customers report bugs through Telegram, while Sentry captures errors, traces, and Session Replays. Seer investigates root causes and generates fixes through GitHub PRs, as demonstrated in BUGBOT-DEMO-2. We also use Sentry and its MCP to monitor our own AI agent, tracing GLM 5.3 calls, token usage, and retries. Sentry doesn't just monitor our application—it powers our entire customer-to-code resolution workflow.