AuditAgent was conceived in response to the growing demand for secure, transparent smart contract deployments in the blockchain industry. It helps both developers and auditors automate routine checks, surface early issues, and prepare code for deeper manual review by streamlining repetitive tasks and highlighting hidden bugs.
Client
© 2025 Nethermind. Displayed with permission. All rights reserved.
Industry
AI Code Auditor - Web3 & SaaS
Services
UI/UX Design, UX Research, Interaction Design, Prototyping, and Product Strategy.
Year & Role
2025, Lead UX & Product Designer
Client Recommendation
Roy Neubert,
Design Head at Nethermind
Reetesh is an outstanding team member—super reliable, collaborative, and always delivers timely, well-considered designs. A joy to work with, he plans meticulously even for complex tasks and is always ready to help.
Summarized by AI
Tech Stack
Problem Discovery
Traditional audits are often lengthy, costly, and out of reach for small Web3 teams, leaving security gaps and launch delays.
Design Process
Each design step was set up to deeply understand users and quickly adapt to feedback. This let us align our solutions with real workflow.
1
Research & Discovery
We researched existing tools to learn what worked well, and what to avoid, while shaping a solution that felt uniquely ours.
2
Design & Prototype
Early designs & prototypes helped capture the core idea and align the team before going deeper into design decisions.
3
Beta Phase with Early Users
By testing with early adopters, we uncovered blind spots and usability issues that weren’t obvious during internal reviews.
4
Iterative Improvements
Based on real usage and feedback, we refined the interface, adjusted features, and improved clarity—focusing on what users needed the most.
Market Potential
Blockchain smart-contract security is a small market but growing rapidly: valued at $180.53 million in 2023 and forecast to reach $839.37 million by 2030, with a 24.55% CAGR. Additionally, $2.1 billion was lost to hacks in 2024, underscoring the demand for faster and more affordable protection.
User Insights
User research surfaced a need for instant scans, clear guidance, and trusted automation. These insights below directly shaped our product decisions.
Devs want instant checks; waiting days slows progress
Users need rapid, clear explanations of risks and fixes
Teams prefer a shared dashboard to streamline collaboration
Continuous scanning is more valuable than occasional audits
Automation should simplify workflows, not add extra noise
Business Goals
We set measurable business targets to stay focused on impact, helping every design choice build toward real outcomes.
User Persona
Based on user interview insights, we crafted two personas to represent our target user and their core pain points.
Sophia Williams
San Francisco
25 Age
Blockchain Developer
She’s technical, uses CI/CD, and depends on tools to catch bugs early and keep smart contracts clean.
Pain Points
Not knowing if her code is ready for a formal audit.
Unclear outputs often require back-and-forth interactions with auditors.
Difficult to interpret noisy automated scan reports.
Goals & Needs
Quickly check contracts for issues before submitting for manual audit.
Clear, actionable explanations for each issue, not just code snippets.
Integrate findings into her team’s GitHub and task tracker.
Make her codebase “audit ready,” not to skip manual review.
James Brown
Quebec
27 Age
Smart Contract Auditor
He audits DeFi and DAOs. He wants automation to handle routine issues so he can focus on critical risks.
Pain Points
Manual, repetitive review of basic code hygiene.
Risk of missing easy-to-overlook bugs, especially under time pressure.
Ensuring audit quality and thoroughness for team.
Goals & Needs
Reduce repetitive checks (e.g. basic linting, code-style errors, common issues).
Get a summarized risk overview before manual engagement.
Use AI findings as an extra safety net to catch hard-to-spot or overlooked bugs.
Seamlessly document findings for clients and compliance.
User Journey Map
Mapping the old auditing process exposed user pain points and guided us to areas where AuditAgent could add the most value.
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Product Market Fit
We positioned AuditAgent as the bridge between quick static scans and deep manual audits—offering affordable, fast checks that catch business logic issues and prep code for full review.
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Feature Prioritization
We prioritized features based on urgency and user value to keep the MVP focused, lean, and impactful.
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Solution & Vision
We should address blockers in mainstream smart contract security and build an AI auditing tool reliable, friendly, and integrable.
Information Architecture
AuditAgent’s structure is organized and user-focused, grouping features intuitively for easy navigation.
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Design Principles
Clear principles kept our UX unified and purpose-driven, helping the team move fast without losing focus.
Branding and Component Library
I designed the brand identity and used HeroUI components to ensure a consistent look and seamless developer handoff.
Dashboard
We crafted a unified dashboard so users could view scans, reports, and team activity at a glance. This simplified navigation and helped users quickly track their audit progress.
Scan Code Flow
Our scan flow was made direct and quick, guiding users through repo connection and scan setup in under a few minutes. Clear guided texts and progress indicators reduced drop-off and stress.
Audit Results Flow
Audit results spotlight key charts and stats up top, so users get instant insights. We prioritized what matters most—organized vulnerabilities with clear explanations, and a handy table of contents.
Mobile Responsive Designs
Key workflows and critical screens were optimized for mobile, so users could run and review scans easily wherever they are.
Website Design
I designed and launched the public website using Framer, allowing for quick updates without relying on a developer.
Design Iterations
We improved the product through user feedback—refining the scan setup, audit results flow, and adding flexible pricing. Left shows earlier versions and the right side shows the final improvements.
Results and Impact
These outcomes reflect how well our solutions performed, based on actual usage data from the MVP and beta release.
Learnings
These learnings reflect my growth as a designer while working on AuditAgent, from understanding developer workflows to iterating on real feedback, and what I’d carry into future projects.
I was new to designing for dev tools, especially in web3, so I had to learn how smart contract developers think and work.
We realized developers cared more about scan quality and fixability than flashy visuals.
Having smart contract auditors on our team gave us quick feedback and kept designs grounded in real audit workflows.
Some edge cases only appeared after launch, so we kept refining flows even after the MVP shipped.
A lot of my time went into simplifying things users didn’t even realize were confusing.
Work With Me
Got an idea for an interesting product or need tips on product design? Don’t hesitate to get in touch by filling out the form below or reaching out to me via email reeteshuiux@gmail.com
Avg. response 12 hours