BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
MVP Investment
$9K - $12K
6-10 weeksEngineering
$8,000Cloud Hosting
$240SaaS Stack
$300Domain & Legal
$1006mo ROI
2-4x
3yr ROI
10-20x
Lightweight AI tools can reach profitability quickly. At $500/mo average contract, 20 customers = $10K MRR by 6mo, 200+ by 3yr.
Talent Scout
L
Leandro Antonelli
Universidad Nacional de La Plata
B
Bruno Pazos
Universidad Nacional de la Patagonia
F
Fabricio Lozada
Universidad Regional Autónoma de los Andes
Find Similar Experts
Requirements experts on LinkedIn & GitHub
References (27)
[3]
Requirements are All You Need: From Requirements to Code with LLMs
Founder's Pitch
"Automate user story generation from high-fidelity mockups using LLMs for seamless requirements engineering."
Commercial Viability Breakdown
0-10 scaleHigh Potential
1/4 signals
Quick Build
4/4 signals
Series A Potential
2/4 signals
Sources used for this analysis
arXiv Paper
Full-text PDF analysis of the research paper
GitHub Repository
Code availability, stars, and contributor activity
Citation Network
Semantic Scholar citations and co-citation patterns
Community Predictions
Crowd-sourced unicorn probability assessments
Analysis model: GPT-4o · Last scored: 4/2/2026
🔭 Research Neighborhood
Generating constellation...
~3-8 seconds
Why It Matters
The research enhances the efficiency of requirements engineering by automating the process of generating user stories from mockups, reducing the gap between end-user concepts and technical development teams.
Product Angle
Develop an API that interfaces with existing project management tools to convert mockups into detailed user stories using LLM capabilities.
Disruption
Could potentially replace current manual processes of generating user stories, reducing time and effort required by product managers and developers.
Product Opportunity
The market for software development tools is vast, with companies constantly seeking ways to streamline processes. This solution addresses a clear need for faster, more accurate requirements elicitation, appealing to software companies and independent developers.
Use Case Idea
Integrate this tool into software development platforms to automatically generate user stories from UI mockups, streamlining the process for project managers and developers.
Science
The paper explores the use of large language models (LLMs) to extract user stories from high-fidelity mockups, with or without a glossary from the Language Extended Lexicon. By providing a structured glossary with the mockup to the LLM, the accuracy of derived user stories improves, making it a potent tool for requirements engineering.
Method & Eval
The approach evaluated LLM's ability to generate user stories from mockups with a case study approach, using mockups with and without an LEL glossary, showing improved accuracy when using LEL.
Caveats
The system might struggle with domains that lack structured glossaries or require significant domain-specific adaptations.
Author Intelligence
Diego Firmenich
LEAD Universidad Nacional de la Patagonia
dafirmenich@ing.unp.edu.ar
Leandro Antonelli
Universidad Nacional de La Plata
Bruno Pazos
Universidad Nacional de la Patagonia
Fabricio Lozada
Universidad Regional Autónoma de los Andes
Leonardo Morales
Universidad Nacional de la Patagonia