Professional Code Audit for AI-Generated Applications
Your AI-Built App Works in Demos. Here's Why It Fails in Production.
AI development tools have made it faster than ever to ship working prototypes. The problem is that working in a demo and production-ready are two very different things. Behind the clean UI, there are often slow queries that choke under load, security gaps that pass unnoticed during testing, and architectural shortcuts that turn into technical debt the moment real users arrive. If your team shipped something fast with AI-generated code and you're now wondering what's lurking underneath, you're asking the right question. DBot Software performs systematic, no-nonsense code audits of AI-generated applications, identifying exactly what's broken, what's at risk, and what needs fixing first. Don't let a fragile codebase stop your product from scaling.
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/The Challenge/
AI Code Ships Fast. Production Breaks It Fast Too.
AI coding assistants are genuinely useful for accelerating development. But they optimize for output that looks correct, not for systems that hold up under real-world conditions. The result is codebases with broken edge cases that only surface under specific user flows, database queries that perform fine with 10 rows but collapse with 10,000, authentication logic full of gaps, no input validation, and dependencies that introduce vulnerabilities your team didn't write and may not notice. Add to that the structural issues, tightly coupled modules, no separation of concerns, inconsistent error handling, and you have a system that's expensive to maintain, painful to extend, and risky to run.
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/Our Approach/
What Happens If You Ship This to Real Users?
A production outage at the wrong moment costs more than the time it takes to fix. It costs customer trust, revenue, and team morale. Security vulnerabilities in unreviewed AI-generated code have already caused real breaches, exposed APIs, unprotected endpoints, improper data handling. The longer this code runs without a proper review, the more risk accumulates. On the other side: teams that invest in a proper audit before scaling know exactly what they have. They fix the critical issues early, build with confidence, and avoid the expensive firefighting that comes from discovering problems under pressure. A clear, prioritized remediation plan isn't overhead, it's how serious engineering teams work.
/Get Started/
Ready to Know What's Actually in Your Codebase?
Book a free discovery call and we'll scope your audit within 24 hours. You'll receive a fixed-scope proposal, a clear timeline, and a final report you can act on immediately. No obligation, no vague estimates. Just a straightforward review of your application by engineers who work on production systems every day.
/What’s at Stake/
Worried the Audit Will Uncover More Than You Can Handle?
That's a common concern, and a valid one. Our audit is designed to give you clarity, not anxiety. Every finding is categorized by priority: what needs immediate attention, what can be addressed in the next sprint, and what's a longer-term improvement. You're never handed a list of 200 problems and left alone. We deliver a remediation roadmap that fits your team's capacity and timeline. And if you need implementation support, we're available for that too. Our 100% on-time delivery record applies here as well, scoped, delivered, actionable.
Get Your Audit Proposal/Proven Results/
Clients Come Back Because the Work Holds Up.
94% of DBot Software clients continue working with us after the first engagement. That’s not a marketing number, it’s the result of delivering work that performs under real conditions, not just in review. Across more than 12 industries, from logistics to retail to education, we’ve helped companies clean up inherited codebases, migrate legacy systems, and build new platforms that scale. When Häfele needed to reduce operational workload by 60% and eliminate stock shortages, it started with understanding exactly what was wrong with their existing systems. That’s what a proper audit does.
Outcomes That Prove the Approach Works.
DD Bricks achieved $500K in annual savings and a 60% workload reduction after a full systems review and rebuild of their hybrid B2C and B2B eCommerce platform. Alpega reduced freight costs by 23% and tripled scalability after we addressed structural issues in their matching architecture. RIS Swiss School cut administrative overhead by 60% through proper platform integration. Each of these started with understanding the real state of the system, not assumptions. A code audit is where that clarity begins.
Griffwerk
Griffwerk: Redefining Efficiency and Cost Reduction in the Door Industry
Enhance operational efficiency and reduce costs.
Griffwerk partnered with DBot to integrate intelligent automation and software solutions into their processes. This collaboration focused on streamlining workflows through Robotic Process Automation (RPA) and Python-based automation, ensuring greater accuracy, speed, and cost-effectiveness in daily operations.
Heicko
Heicko e-ast GmbH: Streamlining CRM and ERP Systems with DBot Solutions
To enhance efficiency and automation, Heicko e-ast GmbH partnered with DBot to optimize their CRM and ERP systems.
By streamlining sales processes and automating key operations, DBot helped Heicko reduce manual workload, improve data accuracy, and enhance sales performance. Through intelligent automation, including RPA and API integrations, Heicko’s operations became more agile and scalable.
Häfele
Hafele's Digital Transformation: Intelligent Automation in the Furniture and Hardware Industry
DBot partnered with Häfele to drive a large-scale digital transformation through intelligent automation.
The collaboration spanned various projects, from custom software solutions to automation enhancements. One of the key achievements was the overhaul of Häfele's purchase order system using cutting-edge OCR (Optical Character Recognition) and RPA (Robotic Process Automation) technologies.
RIS Swiss Section Bangkok
RIS Swiss Section Bangkok: 60-Year Legacy in Digital Transformation for Education
60-Year Legacy in Digital Transformation for Education.
RIS Swiss Section Bangkok, a renowned German language school, embarked on a comprehensive digital transformation journey in collaboration with DBot. This marked a significant milestone in the institution's legacy, a commitment to embracing cutting-edge technology and enhancing the educational experience.
DD Bricks
DD Bricks: Revolutionizing E-Comm with a Customized ERP System
Revolutionizing E-Comm with a Customized ERP System.
DD Bricks, the global leader in e-commerce for pre-owned Lego components, embarked on a transformative journey to enhance its operations and solidify its position in the dynamic Lego marketplace. They partnered with DBot to create a tailored ERP system, a game-changing move in the world of Lego commerce.
Alpega
Alpega Group: Enhancing Transport Management Software Excellence
Enhancing Transport Management Software Excellence.
Alpega is a leading global logistics software company that offers end-to-end solutions that cover all transport needs, including transport management services (TMS) and freight exchanges. Dive into the challenges faced, innovative solutions implemented, and the transformative results achieved in the logistics software sector.
Common Questions About the Audit Process.
Here are the questions we hear most often before clients book their first audit. If yours isn't here, reach out directly, we respond fast.
Contact usHow long does a code audit take?
Scope determines timeline. A focused audit of a single application typically takes 5–10 business days from access to final report. We agree on scope and timeline upfront so there are no surprises.
Does the audit cover security vulnerabilities specifically?
Yes. Security review is a core part of every audit, covering authentication logic, input validation, API exposure, data handling, and known dependency vulnerabilities. You’ll receive a prioritized list of security findings with specific remediation steps.
Can your team also fix the issues you find?
Yes. Many clients move directly from audit to remediation with our development team. This avoids the handoff overhead of briefing a new team and ensures the fixes align with the findings. We scope remediation separately based on the audit results.
We used multiple AI tools to build this, does that complicate the audit?
Not significantly. AI-generated code from different tools tends to have similar patterns and failure modes. Our review process is tool-agnostic and focuses on the code itself, regardless of how it was produced.
What's the cost compared to fixing production issues later?
A production outage, data breach, or major refactor under pressure costs multiples of a proactive audit, in developer time, lost revenue, and customer trust. Most clients find the audit pays for itself before remediation even begins.