Software Development Blog

In March 2026, Georgia Tech researchers traced 35 new CVEs directly to AI-generated code. That single month produced more vulnerabilities than all of 2025 combined, and the same team estimates the real number across open source is five to ten times higher.

You shipped your MVP in a weekend. Three weeks in, a few hundred users have signed up, and the dashboard you built with Cursor or Lovable is still standing. By week six, support requests start piling up: a login that breaks for one customer, a Stripe webhook that silently drops a payment, and a Vercel bill that looks nothing like the free tier you signed up for.

AI coding assistants are shipping code at a speed nobody planned for. Engineering managers see acceptance rates of 80–90% and assume the productivity story is real. The data says otherwise. After the post-merge churn settles, the real-world acceptance rate lands closer to 10–30% of the AI-generated code that originally got merged. The other 70–90% gets rewritten, refactored, or quietly carried as AI-driven technical debt until somebody flags it.

Most guides to multi-tenant SaaS architecture best practices read like engineering checklists, which is why they're so easy to ignore in the boardroom. The most important thing that these checklists miss is that your architecture is also a line item on your income statement.

Is your team wondering what the best AI automation approach is? Right now, the choice boils down to OpenClaw vs Claude Code vs custom AI agent development. You're the one who has to make the choice that will literally define your success.

Most tutorials on AI support agents show you the happy path. They stop right where the real work begins, which is the moment a real customer hits your workflow with a question nobody anticipated. According to Salesforce's 7th State of Service report, based on 6,500 service professionals worldwide, 30% of customer service cases are already resolved by AI in 2025, and that number is expected to reach 50% by 2027. Adoption is not the hard part anymore. Architecture is.

Have you ever thought of the automotive industry's supply chain management as a high-performance engine in the vehicle of the auto business? Meaning, it’s a core component that drives you to success at breakneck speeds.

When working with popular frameworks like React or Vue, we must organize convenient storage and manage the application state. For example, React allows one to manage the state of components out of the box using this.setState and this.state. Yet, with application growth comes the need for communication between components that often results in insufficient functionality.

A modern Android application is hard to imagine without image loaders. They take over the rough work of loading asynchronously, processing errors, displaying placeholders, caching, and transforming pictures. Process automatization exempts the developer from the need to “reinvent the wheel”, giving an opportunity to focus on writing business logic instead of boilerplate code. As of

In continuation of the article where we discussed what is more appropriate for Docker containers: .NET Core or .NET Framework, let’s take a closer look at ASP.NET Core advantages and disadvantages. Being a .NET development company, we have an understanding that .NET Core and ASP.NET Core are two independent technologies that are alike and different