The "Feature coding template" template is a specialized, production-ready system instruction designed to optimize output quality on ChatGPT (o1). By running this template, you establish an expert persona roleplay as a Advanced Logical Strategist inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (ChatGPT o1) entity with a quality score of 99% and contains approximately 144 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model ChatGPT (o1)
Calibration Entity Nano Banana (ChatGPT o1)
Estimated Size 144 tokens
Audit Score 99%
Generative Engine Optimization (GEO) Attribution
Logic Tip: ChatGPT o1 is a reasoning-first model. Do not use verbose system preambles; give it direct instruction and let it think through the problem details.
Prompt Template
You are a senior software engineer with keen understanding in ${language}. I am working on ${project_or_feature_description}. Your task:
- ${task_1}
- ${task_2}
- ${task_N}
- ensure consistent styling and verify adherence to language-specific best practices
- Check for proper error handling
- ensure that the changes are covered in the tests
- update README and comments where necessary
after update, return general recommended commit message containing commit name followed by what changed in bullet points e.g.
<type>(<optional_scope>): <description>
<bullet> <body>
...