Making AI-built apps production-ready
Founders ship faster than ever with AI tools, and the code reaches production before anyone has checked what it actually does under pressure. Batista reads that code the way the next person to break it would, finds what is wrong, and writes it down before your users do.
Batista makes sure software built fast with AI tools is production-ready, and finds what is broken before it reaches production.
The work AI coding tools made possible is real. A product that used to need a team and a year can now ship in weeks. The catch arrives later. Working code is not the same as safe code, and the gap between them is exactly where security holes, data leaks, and scaling failures live.
That gap is the work. Batista reads the codebase three ways: the way someone looking for a way in would, the way the next engineer who inherits it would, and the way it behaves on the day traffic spikes. Every finding gets written down and ranked by what hurts you first.
In 2025, a vulnerability tracked as CVE-2025-48757 hit more than 170 live applications at once. The cause was not a mistake any one founder made. The AI platform they built on generated their database schemas without access controls, so any logged-in user could read, change, or delete data belonging to any other user. The hole was in the template every app inherited. The founders shipped working products and never saw it.
That is the shape of the risk. The code runs, the demo works, the users sign up. The flaw sits underneath, waiting for the first person who looks.
The research backs up the pattern.
of AI-generated code ships with a security flaw
Veracode tested over 100 large language models in its 2025 GenAI Code Security Report. Nearly half the output carried an OWASP Top 10 vulnerability: SQL injection, cross-site scripting, broken access control.
or 4% of global turnover, whichever is higher
The maximum GDPR fine for a serious data breach (Article 83). Less severe violations reach €10 million or 2%. Small companies are fined too, for everyday issues like consent and analytics.
to report a breach, by law
GDPR gives you three days from discovery to notify the authority. A breach found late is a breach reported late, and late reporting raises the penalty.
average cost of a data breach in 2025
IBM's 2025 Cost of a Data Breach Report puts the global average here. Breaches linked to unsanctioned AI use added as much as $670,000 on top.
Fixing problems upfront has a known cost. A missed one does not.
The name
Batista is not a marketing invention. It is a family name, and three generations of building stand behind it.
It started with a cart in the markets of Brazil and grew, over decades, into a supermarket chain. The business was built on one rule: honest work is the only kind that lasts, and being wrong about what you sell costs you everything. Two generations built it in trade. Batista Consulting is the third generation, building in software.
The product is code now. The standard behind the name did not move.
Luann de Carvalho Sapucaia
Founder
Seven years of software engineering before founding Batista Consulting, across financial services, energy infrastructure, and high-traffic consumer platforms. The work now is bringing that level of review to founders shipping fast with AI tools.
How an audit works
A fixed process, because a review is only useful if it is thorough the same way every time.
Scope
A short call to understand what the product does, where it runs, and what worries you. Read access to the repository.
Review
A line-by-line read of the codebase. Authentication, data handling, third-party access, error paths, the parts that get skipped when shipping under pressure.
Report
A written document. Every issue ranked by severity, with the exact location in the code and what it costs you if left alone. Plain language, no filler.
Walkthrough
A call to go through the findings together. You leave knowing what to fix first, what can wait, and what to ignore.
What you get
- A complete read of the codebase, not a surface scan.
- Findings ranked by real risk, not listed to pad a document.
- The exact location of every issue in the code, and what it costs you if left alone.
- Plain language. You should understand every finding without a translator.
Find out what you actually shipped
Working code passed your tests. The real question is what happens when someone who is not you starts poking at it.