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March 27, 2026 - Building a Coding Agent in 90 Minutes: Why Architecture Wins the Game

Speed is no longer the bottleneck in software development. But velocity without structure is just a faster route to failure.

Ferhat Ziba

Ferhat Ziba

Founder, Melexsoft

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"Speed is no longer the bottleneck in software development. But velocity without structure is just a faster route to failure." I built a fully functional coding agent in Rust within 90 minutes — treated as a real-world stress test of AI-assisted development, not a theoretical exercise. What came out of it fundamentally changed my view on agentic development.

The Two-Phase Methodology: Understand Before You Build

I split the work into two clear phases. Phase 1 — Extraction: I studied and understood the architectural logic of an open-source agent (OpenCode) without copying a single line of code. The goal was not the code itself but the principles behind it. Phase 2 — Clean Slate: Using only the extracted specifications, I rebuilt from scratch. No inherited technical debt, no compromises. This separation is critical: those who understand first and then build enforce clean architecture.

The Live Stress Test: A Complete Landing Page in Minutes

To test the agent, I had it generate a complete landing page for a project called "Quickcode". The result: dark-mode UI, value propositions, feature cards, marketing copy — all without manual editing. This was no coincidence. It was the direct result of a cleanly defined architecture that allowed the LLM to extend the code coherently.

Token Economics: Why Context Matters More Than Typing Speed

One of the most important insights: context efficiency beats typing speed. Well-structured, coherent specifications minimize hallucination and correction loops. Every token sent to an LLM should be signal, not noise. This means: precise architecture documentation, clear interface definitions, consistent naming conventions. Those who bring this discipline get higher-quality outputs at lower token consumption.

Architecture First — and Why Human Expertise Remains Indispensable

The core principle: clean structural foundations allow LLMs to extend code coherently. Poor initial design causes entropy to scale exponentially. Technical expertise is what separates functional code from maintainable systems. Agentic development is becoming a baseline skill for experienced engineers. Architectural mastery acts as a multiplier — especially in compressed, time-boxed scenarios. The takeaway: the tools keep getting more powerful. But architecture still wins the game.

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