Engineering Bottleneck Nobody Likes to Talk About
Every engineering team knows the frustration. The backlog grows faster than it shrinks. Tickets pile up. Developers spend more time fixing bugs, writing documentation and cleaning up legacy code than building new features.
This cycle of technical debt accumulation silently eats away at productivity and innovation. In fact, studies show that developers spend nearly 40% of their time on maintenance tasks instead of innovation. That’s the problem Supernaut is built to solve.
Supernaut’s Vision: Turning Bug Tickets into Tested Code
Founded in 2024 in Lithuania, Supernaut has built a tool that acts as an AI-native engineer, a smart system designed to investigate, fix, test and document bugs autonomously.
Rather than adding another layer of management, Supernaut integrates directly with tools developers already use such as Jira, GitHub and Slack. This is so because it allows teams to feed its issues or backlog tickets as inputs.
Once connected, the platform automatically:
- Analyzes the issue and its context within the codebase
- Generates a tested code patch
- Updates documentation
- And closes the ticket
The result: development teams can reclaim their focus on building new features while the AI handles routine maintenance at speed. Supernaut’s founders describe the platform as a bridge between automation and accountability, a system that doesn’t just fix code but ensures transparency in how each fix is made.
How Supernaut AI Works ? From Ticket to Test in Minutes.
The company’s approach is refreshingly practical. Supernaut AI integrates directly into existing workflows and requires less than 15 minutes to onboard. Once connected, engineers can delegate bug tickets or stale backlog items to the AI, which autonomously triages, prioritizes and produces fixes. By leveraging advanced code reasoning models, Supernaut ensures changes are testable and documented. These are the two pain points that often slow the development velocity.
Beyond automation, it introduces observability and accountability, every AI-driven code change is logged, reviewed and traceable, making it fit for regulated industries or large-scale enterprise development.
How Supernaut AI Plans to Scale with Fresh Funding ?
Earlier this year, Supernaut AI raised €530K in pre-seed funding, led by Superhero Capital, with participation from early-stage investors across the Baltics and Nordics.
The capital will help the startup refine its AI reasoning engine, enhance integrations with developer ecosystems like GitHub/Jira/Slack and expand its team to accelerate global rollout.
Supernaut also plans to open early access for enterprise clients by mid-2026, enabling large organizations to automate recurring engineering tasks at scale.
The founding team, seasoned engineers and applied-AI researchers believe the next major productivity revolution in software development will come not from better IDEs. It will come from AI systems that autonomously maintain, document, and optimize codebases.
Why Supernaut Matters in the Developer Ecosystem ?
The rise of generative AI tools like GitHub Copilot and Codeium has already changed how developers write code. Supernaut targets this “forgotten half” of the development cycle which is messy, repetitive and low-glory work that developers have to do but hate doing.
By giving teams an AI system that can independently close tickets, document fixes and maintain codebases, Supernaut AI is breaking this unnecessary trend which is not to replace engineers but to give them back their time and make the entire process much more efficient.
In an era where software velocity defines market survival, this could be transformative.
From Desktop to Deployment: The New AI Engineering Era
Supernaut’s mission goes beyond automating bug fixes, it represents a shift in how we think about engineering itself.
For decades, automation tools have optimized deployment and infrastructure. Now, AI is moving into the core creative process of software maintenance and improvement.
The next few years could see hybrid teams where human engineers focus on design and innovation, while AI agents like Supernaut quietly keep codebases clean, tested and compliant behind the scenes.
And when that happens, the biggest bottleneck in software engineering: “TIME” might finally be solved.
When Code Fixes Itself, Developers Can Finally Build
Supernaut AI isn’t promising a world without developers. It’s promising a world where developers finally do what they love, building.
By automating the invisible but essential work that slows teams down, the startup is defining a new category in the AI-for-engineering space: intelligent automation that scales creativity, not just productivity.
With €530K in pre-seed funding, there’s hope that the future of software development and engineering fixes won’t just be faster, they’ll be automatic.