I believe AI-assisted coding is where we’ll see the most value from LLMs.
I’ve previously discussed how, in the long term, the paradigm is shifting from the human as actor to the human as observer. I believe AI-assisted coding is the only area where we can witness this shift happening right now, and quickly.
AI-assisted coding will boost developers’ productivity, make coding more accessible, and, rather than substituting coders, may actually increase the number of people who code.
I really liked the opinion expressed by Bill Staples, the CEO of GitLab.
Bill Staples argues that as coding becomes more accessible, and as people no longer need deep technical knowledge to get started, AI-assisted coding will increase number of developers
I’ve been writing about AI-assisted coding and why LLMs work well for artificial languages for a while, so I’ve compiled a list of AI Realist articles on the topic.
My first article in the series about AI for Coding lay out how artificial languages differ from natural languages and why LLMs, especially when paired with reinforcement learning, can pick up their patterns. It also discusses how stochasticity and the models’ focus on natural language can hurt performance.
An article about enabling developer productivity with current offerings and how to integrate them:
The perpetual question: what should be bought and what should be developed from scratch? A discussion of how not to reinvent the wheel and how to enable developers with the best tools.
The latest research on AI-assisted coding, plus a collection of practical tips on how to apply this research in real-world settings.
Tips and tricks for GitHub Copilot:
The article on how AI changes the paradigm and shifts the role from the human as actor to the human as observer:
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