Скачать или смотреть AI-assisted software engineering tips: work in small batches.

Want to get faster, cleaner results when developing software with AI? The secret is simple: Work in Small Batches.

This video explains why breaking your coding tasks into tiny, focused steps is a game-changer for AI-assisted development. Just like humans, AI has limited short-term memory. Overloading it with huge, complex tasks leads to errors and wasted effort.

Key Takeaways:
Boost Focus: Small steps keep both your brain and the AI on track, preventing details from slipping through the cracks.

Reduce Risk & Cost: If the AI misses the mark on a small task, the wasted effort is minimal. You can try, test, and adjust quickly.

Create Fast Feedback Loops: Work one prompt, one function, one tiny improvement at a time. This allows you to test immediately and safely guide the next step.

Maintain Control: By building your solution incrementally, you stay in control of the code quality and integration.

Avoid Pitfalls: Ensure your tasks are not too large (if it takes days, it's too big) and never delay testing—keep steps independent and testable.

Adopt this "MVP thinking" at every stage of coding. Shrink the task, check the result, then move to the next step to maximize your output with AI.

If you're a software engineer looking to practice your AI-assisted software engineering, you can find real-world programming projects that you can use to become a better software engineer by building real applications on the Coding Challenges website here: https://codingchallenges.fyi/

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