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Fetishizing pair programming. If you were involved with professional programming in the 80s and 90s, you may remember how radical it was (and, in many shops, still is) to put software developers in touch with users and customers. It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage.
It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificialintelligence (AI) engineers. In programming, Python is preeminent. Coincidence?
That statement nicely summarizes what makes software development difficult. It’s not just memorizing the syntactic details of some programming language, or the many functions in some API, but understanding and managing the complexity of the problem you’re trying to solve. We’ve all seen this many times.
It does not mean that cryptography is broken, or that we can achieve general artificialintelligence, or anything of the sort. I was introduced to programming in 1972, on computers that were incredibly small by modern standards—but they were still useful. It’s important to consider what this achievement does not mean.
You need to integrate artificialintelligence with human intelligence. I cant see someone learning Go from a summarymaybe more to the point, I dont see someone whos fluent in Go learning how to program with AI. Do users expect to learn, or do they only want to find out whether the book has what theyre looking for?
Assessment is a necessity, and it’s something corporations take very seriously, at least for in-house training programs. Examples of these skills are artificialintelligence (prompt engineering, GPT, and PyTorch), cloud (Amazon EC2, AWS Lambda, and Microsoft’s Azure AZ-900 certification), Rust, and MLOps. Why is that?
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