Popular Articles
Database Management Best Practices
Poor database management can undermine system performance, reliability, and security long before problems become visible to users. Slow queries, unstable schemas, and weak access controls often accumulate silently, creating technical risk that is expensive to fix later. Many teams focus heavily on application features while overlooking the database layer that supports every transaction, report, and user interaction. This article explains why proper database management is critical, outlines common mistakes that lead to outages and data loss, and presents proven best practices used by high-performing engineering teams to keep databases stable, scalable, and secure over time.
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How to Reduce Technical Debt
Technical debt is one of the most costly and often underestimated problems in modern software development. It accumulates gradually through rushed decisions, outdated architecture, and postponed refactoring, eventually slowing delivery and increasing the risk of defects. As technical debt grows, even small changes require more effort, testing, and coordination, making teams less responsive to business needs. This article explains what technical debt truly represents beyond a metaphor, why it builds up over time, and how engineering teams can reduce it in a structured, sustainable way without halting product development or sacrificing delivery speed.
development
Building AI‑Powered Applications
AI-powered applications are no longer niche experiments limited to large technology companies or research teams. Today, startups, mid-size businesses, and small development teams can build production-ready AI solutions that automate processes, personalize user experiences, and deliver measurable business impact. The real challenge is no longer gaining access to powerful AI models, but designing systems that are reliable, scalable, and easy to maintain over time. This article explores how to approach AI application development with a practical mindset, avoid common architectural pitfalls, and create AI-driven products that provide consistent value in real-world environments.
development
Testing Strategies for Reliable Software
Reliable software is not the result of luck or heroic debugging before release. It is the outcome of deliberate testing strategies that balance speed, coverage, and confidence. Modern systems are complex, distributed, and constantly changing, which makes ad-hoc testing ineffective. This article explains how to design testing strategies that actually improve reliability in real production environments.
development