An experienced technical author explores using ChatGPT to assist with a number of writing projects. He finds ChatGPT can provide time-savings through drafts and prompting for additional content, but lacks accuracy and depth - as well as suffering from bubbly optimism. Overall it is useful if you work iteratively, asking for small chunks with well-crafted prompts.

Asking Stable Diffusion for "portrait of technical author"

My account of an internal chat with Xu Hao, where he shows how he drives ChatGPT to produce useful self-tested code. His initial prompt primes the LLM with an implementation strategy (chain of thought prompting). His prompt also asks for an implementation plan rather than code (general knowledge prompting). Once he has the plan he uses it to refine the implementation and generate useful sections of code.

A common approach with Timeboxed Iterations is to allocate as many UserStories as possible to each iteration in order to maximize the utilization of the staff involved. Slack is the policy of deliberately leaving time that isn't allocated for stories, using that time for unplanned work. Although this seems inefficient, it usually yields a significant improvement for the productivity of a team.

Continuous flow is an approach to scheduling work, often associated with agile software development. The team breaks down the features of the software into User Stories. They then prioritize these stories into a crude list. The team then takes some of these user stories and works on them, when they complete one, they pull the next one off the list.

Timeboxed Iterations are a way to divide and schedule up the work on a project, particularly associated with agile software projects. The team breaks down the visible features of the software into User Stories, and breaks down time into fixed periods (e.g. one week), called iterations. They then schedule the stories by allocating them to the iterations. Stories are roughly estimated so that the team can figure out how many stories fit in an iteration.

Appreciating the newly top-rated game on BGG

Established UI patterns are often underutilized in the frontend development world, despite their proven effectiveness in solving complex problems in UI design. This article explores the application of established UI building patterns to the React world, with a refactoring journey code example to showcase the benefits. The emphasis is placed on how layering architecture can help organize the React application for improved responsiveness and future changes.

If you use retrospectives, or any kind of meeting where people are supposed to discuss and learn from their discussions, you will have experienced less efficient sessions from time to time. There is no wonder in that, and it happens to most people. This article describes and offers solutions for three of these unfortunate situations: skipping generating insights, getting lost in things you can't change, and being dominated by a loudmouth.

To accelerate means to move faster, to gain speed. Effectively working with data is key for any organization that wants to thrive in the modern world, and Data Mesh is showing organizations how to realise value from their data, at scale. The Data Mesh Accelerate workshop helps teams and organisations accelerate their Data Mesh transformation, by understanding their current state and exploring what the next steps will look like.

Six of my favorite new music acquisitions in 2022