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Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Gen AI tools are advancing quickly, he says.
Some of these things are related to cost/benefit tradeoffs, but most are about weak telemetry, instrumentation, and tooling. LLMs are their own beast Unit testing involves asserting predictable outputs for defined inputs, but this obviously cannot be done with LLMs. With LLMs, you might not. Sound at all familiar?
Some of these things are related to cost/benefit tradeoffs, but most are about weak telemetry, instrumentation, and tooling. LLMs are their own beast Unit testing involves asserting predictable outputs for defined inputs, but this obviously cannot be done with LLMs. With LLMs, you might not. Sound at all familiar?
Kent Beck concluded , Measure developer productivity? He says a measurement based approach generates relatively weak improvements and significant distortion of incentives. If you did this exercise with your leadership team, youd probably get different answers. We use Extreme Programming as our model of how to develop software.
Submit a proposal for a talk at our new virtual conference, Coding with AI: The End of Software Development as We Know It.Proposals must be submitted by March 5; the conference will take place April 24, 2025, from 11AM to 3PM EDT. That implicit context is a critical part of software development and also has to be made available to AI.
In 2021, we saw that GPT-3 could write stories and even help people write software ; in 2022, ChatGPT showed that you can have conversations with an AI. Now developers are using AI to write software. Developers, both new and experienced, are learning them on the job. A lot has happened in the past year.
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