Python is gaining ground in AI - it is now the language of both AI engineering and the language of agents. But is it losing ground as the language of programmers? Python made its name as the programming language that minimizes the impedance mismatch with natural language. However, with coding agents, it is now possible to go from natural language to working Python code. Where do we go from here?

The talk will place the evolution of coding agents in the history of programming language development. We will see that LLMs are more than just compilers that translate natural language into programs. It will also cover about the return of the waterfall lifecycle development process.

The talk will also cover about the effect of agents on developers. How are coding agents being received by developers? I will talk about three types of developers: those who supercharge their coding with agents, those who feel threatened by them, and those who weren’t developers but now are developers.

Finally, the talk will be about developing agents. From model context protocol to application context protocol. Building AI systems has never been easier or more fun.

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