The art of writing efficient prompts for programming
Optimize your daily workflow by communicating with language models clearly, contextually, and accurately.
In FenixDevApp, we integrate smart tools into our development flows. Knowing how to program in 2026 is not only about writing syntax, but also about knowing how to delegate boilerplate, refactoring and auditing tasks to AI assistants using precise instructions.
1. Always provide the Role and Context
Before asking for code directly, define the role the AI should take (for example: "Acts as an expert developer in Kotlin and memory optimization") and provide details of the technical environment where it will run.
2. Specify clear restrictions
Explicitly state what you DON'T want the AI to do. Example: "Do not use external third-party libraries", "Use only vanilla JS", or "Keep the code compatible with WCAG AA accessibility". This drastically reduces hallucinations.
3. Provide examples (Few-Shot Prompting)
Giving the AI an example or two of the exact format of the expected input and output code greatly helps ensure that the output aligns perfectly with your project's structure and naming conventions.
AI is a Force Multiplier
Learning to guide your AI assistants in a structured way allows you to delegate repetitive work and focus your energy on conceptual architecture and complex problem solving.
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