Here is a draft blog post on how AI assistants are changing code development:

## How AI Assistants Are Already Changing the Way Code Gets Made

For many software engineers, AI coding assistants have quickly become an essential part of the development process. These tools are designed to be helpful, harmless, and honest - completing routine coding tasks so humans can focus on more creative work. 

Code completion is perhaps the biggest time-saver. Systems like Copilot can often auto-complete lines of code with just a few letters typed. This accelerates writing queries, functions, and classes drastically compared to manually typing everything out. Autocomplete also reduces errors by ensuring code syntax stays valid.

Bots excel at documentation too. With a simple natural language query, assistants retrieve API specifications, code samples, and developer documentation to help understand existing projects or implement new features faster. This is tremendously useful for onboarding new hires or picking up work after a context switch.

Pair programming with AI is also becoming popular. Developer-assistant duos allow exploring multiple solutions together, catching bugs early, and generating well-tested, standardized code through conversational workflows. This collaborative approach leverages the best of both human and machine cognition. 

Of course, assistants cannot (and should not) replace human programmers. But by tackling repetitious labor, AI is letting coders spend more mindshare on creative problem-solving, design, and strategy. Over time, assistants may also help close skills gaps, expand access to code, and have a democratizing impact on technical fields.

In summary - while AI will never replace human judgment, tools like Copilot demonstrate code creation can become more inclusive and less tedious when software engineers partner with machine intelligence. The future of development looks bright as humans and AI learn to think together in insightful new ways.l