In the news
Why LLMs can’t make your code simpler
Answer.AI · Pol Alvarez Vecino · Published · 1 min read
In 30 seconds
- What happened
- LLMs generate unnecessarily complex code because they lack the Theory, the deep understanding of business context, constraints, and design decisions that exist only in engineers' minds.
- Why it matters
- Matters when you review LLM-generated code and wonder why it's verbose or over-engineered despite clear requirements and existing patterns.
- Watch out
- No code metric like lines of code or cyclomatic complexity can measure Theory complexity, so LLM training improvements targeting these metrics won't solve the core problem.
Listen to this summary
- llm
The patterns behind this
- Generative UI (Agent-Rendered Interfaces)
- Agentic Context Engineering (Evolving Playbook)
- Deep Research Agent
Each one covers how the technique works, when it earns its cost, and where it breaks.
The Agent Architect
One pattern, one tradeoff, one production failure story. A short weekly briefing for people building agentic systems.
Weekly email, one-click unsubscribe. We only use your address to send the briefing.