Why AI Is Not a Magic Wand: The Reality of Data Architecture in Software Projects A technical analysis on why AI projects fail due to poor data architecture, the reality of dirty data, and the engineering prerequisites for RAG systems.
Integrating AI into Your Product: Strategic Asset or Unnecessary Dependency? A strategic evaluation of the risks of adding AI features to software projects: API dependency, unit economics, and the danger of becoming just another wrapper.
Generative AI in Coding: The Illusion of Speed vs. Architectural Integrity A technical evaluation on the maintenance costs, speed illusions, and architectural integrity risks created by AI-generated code.
The 90 percent Syndrome in Software Projects: The Invisible Cost of Premature Coding A comprehensive technical analysis of why projects stall in the final stages, the illusion of progress created by early coding, and how technical debt quietly bankrupts software products.
AI in Software Development Processes: A Productivity Tool or a Decision Lock? A technical evaluation of how artificial intelligence in software projects increases code production speed while impacting architectural decisions and technical debt.
The Real Problem in Software Projects Is Not Technical, It Is Organizational A comprehensive examination of why most software project problems stem not from code or technology, but from decision-making structures, unclear ownership, and organizational ambiguity.
I Want to Build Software but Don’t Know Who to Choose or How to Decide An in-depth examination of why uncertainty in hiring software teams is rarely technical, how focusing on price, technology, or references leads to fragile decisions, and which decision frameworks actually reduce risk.
Why “What Should We Build?” Is the Wrong First Question in Software Projects A comprehensive examination of why starting software projects with the wrong question creates an illusion of early clarity, how premature decisions silently lock teams in, and which questions enable healthier beginnings.
When Are You Really Ready to Start MVP Development? An in-depth look at when teams are truly ready to start MVP development, why MVPs are often misunderstood, and how starting at the wrong time can lock even good ideas too early.
I Have an App Idea but Don’t Know Where to Start A comprehensive guide for people with an app idea who are unsure where to start, focusing on the key decisions that should be clarified before jumping into software development.
5 Critical Points to Clarify Before Hiring a Software Development Team A comprehensive look at the key decisions teams must clarify before hiring a software development team, and why most software projects struggle due to wrong early decisions rather than technical issues.
The Real Risk in MVPs: Locking the Wrong Things Too Early An in-depth look at why MVP projects often fail not because of missing features, but because early decisions silently become permanent constraints.
Why Decisions in Software Projects Gradually Lock the Product An in-depth look at how decisions that initially make sense can gradually lock software products over time, from MVP to growth and legacy stages.
How a Small Decision Turned Into a Big Problem A real-world micro case, anonymized and generalized, showing how small and reasonable early decisions can silently grow into product-blocking constraints over time.
Common Misconceptions in Software Projects Widely accepted but rarely questioned assumptions in software projects that often lead to costly decision-making mistakes.
Why Existing (Legacy) Systems Are Actually Hard to Deal With An in-depth examination of why existing (legacy) systems become difficult over time and why modernization is not merely a technical challenge.
