Software Maintenance Costs Are Often Underestimated
Software maintenance costs are often underestimated because builders focus on the initial creation phase while ignoring...
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Why Framework Updates Can Break Custom-Coded Apps
Framework updates break custom-coded applications when the codebase lacks structured interfaces and relies on ad-hoc API...
When Should You Not Use AI for Coding?
AI coding should not be used to build core application infrastructure from scratch if you lack the technical expertise t...
When Should You Use AI for Coding?
AI coding should be used when automating repetitive boilerplate, writing isolated utility scripts, or accelerating the w...
Common AI Code Errors in Admin Systems
The most common errors generated by AI in admin systems are not syntax mistakes, but architectural and security omission...
Technical Debt in CRM: Why AI Coding Won't Pay Off Your Technical Loans
Technical debt in CRM systems manifests as high maintenance costs when applications are built quickly without standard a...
Buy vs. Build in Small Software: The Opportunity Cost of Rebuilding the Wheel
Buying existing source code is the most efficient solution in terms of opportunity cost for 90% of businesses and solo f...
Should You Code Your Own CMS with AI? The Boundary Between Prototype and Production
Building a custom content management system (CMS) from scratch using AI is an attractive idea, but it requires evaluatin...
What is Technical Debt? Explained for Non-Techies
Technical debt is the interest a business pays when it chooses a quick, shortcut-driven coding solution today instead of...
Why CMS is More Than Just CRUD
A content management system (CMS) is often mistakenly perceived as a simple CRUD wrapper over a database. In reality, a...
Working Code vs. Operational Code
The fundamental gap between working code and operational code is the difference between a prototype and a production-gra...
What Are the Risks of Vibe Coding? When Prompt-Driven Coding Meets Production Reality
The primary trade-off of vibe coding is not the quality of the AI's output, but the cost of time and technical debt. Whi...