Most projects drown in accidental complexity, lose sight of business goals, and deliver at exponentially growing cost. Here is why.
These problems are not exceptions. They are the norm across the industry.
Fast at start, then slower and more expensive as the codebase grows. Eventually you hear: "We need to refactor." "We need to start over." Every new feature costs more than the last.
Too much time spent on technical decisions, too little on business value. The process is difficult to follow and predict. Developers struggle to explain the business problem they are solving.
Microservices, complex architectures, exotic technologies, high cloud bills. You are not Netflix. Complicated stuff that nobody asked for, built because it seemed like best practice.
Methodology-focused cargo cults. Ceremony over substance. For non-technical stakeholders: death by Jira tickets they cannot parse. Process replaces progress.
Difficult to leverage and scale AI in existing codebases. No measurable return on investment. The architecture was never designed for it.
Weeks or months of setup, tooling, and infrastructure before a single line of business logic ships. Sprint 0 stretches on with zero business value delivered.
The conventional approaches are not just ineffective. They actively cause the problems they claim to solve.
Organizes coupling, explodes complexity, and kills agility. Current-state modeling abstracts the past and hampers future evolution.
Organizes coupling and diminishes cohesion. Changes ripple across layers instead of staying contained. The opposite of what you need.
Decide everything upfront. Creates cognitive load, complexity, and overengineering. Locks in decisions before you understand the problem.
Carving in stone with the understanding and requirements of today. Kills agility by coupling your model to current assumptions.
Generates working tests but does not support proper design. Tests pass, but the architecture degrades. Confidence without quality.
Abstracts away the past and blocks future evolution. You lose the history of how you got here and the flexibility to go somewhere new.
We solve these problems with a fundamentally different approach: business-first, AI-native, and built for linear cost.