In this post, I am continuing my Kiro experiments to produce better specs outcomes. I am doing so using my demo app repository (https://github.com/aws-containers/votingapp). This is the same application I have used in my previous blog post Using Q CLI to validate the implementation of Kiros specs. For background, when …

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Many of us have one or more litmus tests for assessing the capabilities and workflows of generative AI code assistants. Simon Willison has his "Pelican on a bike". (One of) mine is asking a gen AI coding tool to perform this task: 1Create a new Flask route in a dedicated web page at the following path: …

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At re:Invent 2024 the Amazon Q Developer team has introduced a number of additional capabilities. Many of them are available in the IDE (one of Q Developer's primary consumption "channels"). One of the challenges I have noticed is that people are often confused by what they can do in the IDE, what …

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The CloudFormation team has been on a roll in the last 12 months. Among many releases, they introduced Git stack management, up to 40% faster deployments, stack visualization with Infrastructure Composer, adjustable timeouts and last week the team has introduced the timeline view for deployments. Being a very visual …

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It's pretty clear (to me) that Generative AI assistants users are coming to expect a certain level of personalization to their needs. For example, I was talking to Johannes Koch (an AWS Hero) and he told me "I get distracted by too much verbosity (explanation) of Q coming “after” the initial code generation." …

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Amazon Q Developer is what pays my bill and the generative AI-based code assistant I use more regularly. From what I am reading and hearing, the rant in this post may apply to other generative AI-based tools and experiences. I have, for a long time, been saying that using generative AI is like driving a car. You can …

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Last week I was in Istanbul for the local Community Day, where I talked about Generative AI assistants (e.g. Amazon Q Developer). One of the concepts I talked about is a framework for how to think about adopting these assistants. This framework tries to address common questions people have around the topic: are these …

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I have long been saying that generative AI english-to-code capabilities (that is, the ability for an assistant to produce code based on a prompt) are overrated - but very useful - while the code-to-english generative AI capabilities (that is, the ability to explain a piece of code) are underrated (and likely even more …

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If you have been deep into generative AI, you probably heard about the notion of "prompt engineering". In a nutshell, it's the science that masters how to interact with Large Language Models (LLMs), how to "ask for things". I found this to be a good learning and reference resource. In this post I …

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Last week Darren Shepherd, CTO at Acorn, announced on Twitter his last crazy OSS project: GPTscript. I paid attention because I always say that, if you want to know what people will be doing 3 years from now, you have to watch what Darren, Shannon and Sheng are building today. They have an industry track record for …

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