Part 3: Hardening Your AI Safety Net – Code Audit Automation
While manual reviews catch many issues, these automated systems will intercept 92% of AI-generated risks before they reach production (2024 DevSecOps benchmark data). Here’s how to implement them: 1. Semantic Code Firewalls Problem: Traditional linters miss AI-specific anti-patterns like: Over-optimized unreadable code “Clever” but dangerous shortcuts Hallucinated
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Part 1: 3 Real Cases Where AI Agents Broke Production
AI agents accelerate development, but blind trust can lead to catastrophic failures. Here are three real-world examples (based on 2024-2025 incidents) where AI-generated code caused critical production outages. Case 1. The “Optimized” API That Killed Payments What happened: A startup team used GitHub Copilot to refactor their payment
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Dodging the Dev Disasters: How to Keep Your Code and Deadlines from Going Haywire
In the world of software and mobile app development, every project is an exciting adventure full of opportunities and potential pitfalls. Whether it’s creating a new framework or updating an existing application, risks can lurk at every corner. In this article, we’ll explore how to avoid common problems
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The Benefits of Scrum Methodology in Application Development: A Case Study
In today’s fast-paced and dynamic business environment, agility and flexibility are paramount for success. As companies strive to deliver high-quality products and services while adapting to rapidly changing market demands, the adoption of agile methodologies has become increasingly prevalent. Among these methodologies, Scrum stands out as a highly
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