Ditesh ditpoo

# GPT-5 Image Gen Prompt Template Example.

Capture a scene with **[subject(s)]** over **[location and environment]**. **[brief narrative beat or moment to capture]**. In a style of **[art/style family]** rendered in **[pipeline/medium]**, with **[hallmark style traits]**.

## Non-negotiables
<series_constants>

<Character bible>  
- **[Character A]** — [build/skin/face markers/hair/defining feature(s)].

Untested but Promising Blueprint for Writing Production-Ready Code with AI Code Generation

What's Lacking / Required:

Defined processes, practices, and workflows.
The ability to generate working or easy to debug/fix code.
The ability to generate working or fixable production-ready code.
Efficient management of code files with thousands of lines of code (loc).
Management of file/code history, changes, and context.

Goals:

Sharing best practices I discovered/found for coding using AI based code generation

Provide code base/project details and up-to-date context.
Separation of concerns in different modules.
Create implementation details for each PR, maintain implementation docs.
Generate small, focused chunks of code (< 1k lines).
Keep functions concise and small.
Comment every function; add context before AI generation.
Keep those comments updated with every change on that code

	scene: POV from eagle's head flying over 18th-century Paris sky during French Revolution — revolution banners, crowded alleys, crumbling rooftops, with wing shadows and occasional feather flicks visible, eagle dives past Notre-Dame, banks over rioting streets, weaves between cannon towers, final dive over revolution square.

	aespect_ratio: 2.35:1

	scene_tone: epic, historic, fluid

	shot_type: ultra-wide aerial shot, with motion blur trails.
	camera_movement: swooping dives, rooftop skims, banking turns around towers and smoke columns

	lighting_effects: dramatic sunset with rim light on rooftops, warm haze through smoke,