Tag: AI Coding

Database audit illustration showing AI-generated schema with missing constraints wrong data types and unsafe queries being identified and corrected in Laravel MySQL application
DevOps

September 7, 2026

Database Audit: What AI Misses When It Writes Your Queries and Schema

This is Part 6 of our AI Code Audit Series — covering the essential audits every team should run when building with AI agentic editors. The database audit is the final post in this series and in many ways the most consequential. Application code can be refactored. Business logic can be corrected. Security vulnerabilities can […]

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Performance audit dashboard for AI-built web application showing N+1 query bottlenecks being identified and optimized in Laravel PHP application
DevOps

September 7, 2026

Performance Audit for AI-Built Apps: Finding the Hidden Bottlenecks

This is Part 5 of our AI Code Audit Series — covering the essential audits every team should run when building with AI agentic editors. Performance problems in AI-generated code share one characteristic that makes them particularly dangerous: they’re invisible in development. The application works correctly on a developer’s machine with a few hundred test […]

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Code quality audit illustration showing AI-generated technical debt being identified and refactored into clean maintainable code in Laravel PHP applications
DevOps

September 7, 2026

Code Quality Audit: How to Clean Up What AI Coding Tools Leave Behind

This is Part 4 of our AI Code Audit Series — covering the essential audits every team should run when building with AI agentic editors. Code quality problems are the quietest of all the issues AI agentic editors introduce. They don’t cause immediate failures. They don’t create security breaches. They don’t produce wrong results in […]

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Security audit checklist for AI-generated code showing vulnerabilities being identified and fixed in Laravel PHP applications built with agentic editors
Security

September 7, 2026

Security Audit for AI-Generated Code: A Developer’s Checklist

This is Part 3 of our AI Code Audit Series — covering the essential audits every team should run when building with AI agentic editors. Security is where AI-generated code fails most dangerously. Not most frequently — business logic errors are more common. But most dangerously, because security vulnerabilities don’t produce visible symptoms until they’re […]

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Business logic audit illustration showing AI-generated code with incorrect business rules being identified and corrected by a developer reviewing flowchart logic
DevOps

September 7, 2026

Business Logic Audit: How to Catch What AI Gets Wrong in Your App

This is Part 2 of our AI Code Audit Series — covering the essential audits every team should run when building with AI agentic editors. Of all the audit types we run on AI-generated codebases, the business logic audit is the one that finds the most expensive problems. Not the most numerous — security audits […]

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Developer running a code audit on AI-generated code from an agentic editor showing security quality and business logic issues being identified and fixed
DevOps

September 7, 2026

Why AI Agentic Editors Need Code Audits — And How to Run Them

AI agentic editors have fundamentally changed how software gets written. Tools like Cursor, GitHub Copilot, Windsurf, and Claude Code don’t just autocomplete lines — they write entire functions, scaffold full features, generate database migrations, wire up API endpoints, and in some cases build significant portions of an application from a single prompt. The speed is […]

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Security vulnerabilities in AI generated code illustration showing risks from AI coding tools and how developers can fix them in 2026
Security

September 5, 2026

The Hidden Security Risks of Building Apps With AI — and How to Fix Them

AI coding tools have genuinely changed how software gets built. GitHub Copilot, Cursor, Claude, ChatGPT — developers are using them to write boilerplate, generate functions, scaffold entire features, and move faster than was previously possible. The productivity gains are real and significant. But there’s a problem that doesn’t get nearly enough attention: AI coding tools […]

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