Making a dent in the tech universe
Making a dent in the tech universe
Goodbye Manual Markup: How Claude Code Automates the Figma-to-Code Workflow
What if we could take the designs provided to us by our clients and instead of spending hours measuring spacing, and recreating layouts pixel by pixel, we could use AI tooling, and skip the manual translation entirely?
Goodbye Manual Markup: How Claude Code Automates the Figma-to-Code Workflow
What if we could take the designs provided to us by our clients and instead of spending hours measuring spacing, and recreating layouts pixel by pixel, we could use AI tooling, and skip the manual translation entirely?
Are Local LLMs the solution to all our problems?
It feels like there is a growing gap between people who are deep in technology/AI space (like myself) and everyone else about whether AI is good or bad. Take, for example, this study [1] done in the US on whether people think AI will have a positive or negative effect on the US over the next 20 years.
The Myth of Icarus and the Modern Dilemma of AI-Augmented Coding
Once upon a time—well, in a land of myth and melodrama—a young chap named Icarus got the ultimate upgrade: wings. Handcrafted by his ever-wise (and occasionally overly ambitious) father, Daedalus, these wings were a marvel of ancient engineering, crafted from feathers and wax. Icarus, thrilled by his newfound ability to defy gravity, soared into the sky with the enthusiasm of a kid on a sugar rush.
Musings from a Gen-Xer
I came across a post on the socials during a doom scrolling session the other night. Picture below for eventual context. The author had been to a talk by a LinkedIn company exe (I think) and posted their key takeaways from the talk, which really resonated.
A sentiment engine using ChatGPT's completions API
OpenAI's completion API opens up endless possibilities to integrate powerful analysis of text based data and convert it to a structure response suitable for processing by your application. We have recently had a number of examples where we can leverage this technology. One task was to determine the sentiment of someones comment before displaying that comment on a public website.
Goodbye Manual Markup: How Claude Code Automates the Figma-to-Code Workflow
What if we could take the designs provided to us by our clients and instead of spending hours measuring spacing, and recreating layouts pixel by pixel, we could use AI tooling, and skip the manual translation entirely?
Are Local LLMs the solution to all our problems?
It feels like there is a growing gap between people who are deep in technology/AI space (like myself) and everyone else about whether AI is good or bad. Take, for example, this study [1] done in the US on whether people think AI will have a positive or negative effect on the US over the next 20 years.
The Myth of Icarus and the Modern Dilemma of AI-Augmented Coding
Once upon a time—well, in a land of myth and melodrama—a young chap named Icarus got the ultimate upgrade: wings. Handcrafted by his ever-wise (and occasionally overly ambitious) father, Daedalus, these wings were a marvel of ancient engineering, crafted from feathers and wax. Icarus, thrilled by his newfound ability to defy gravity, soared into the sky with the enthusiasm of a kid on a sugar rush.
Musings from a Gen-Xer
I came across a post on the socials during a doom scrolling session the other night. Picture below for eventual context. The author had been to a talk by a LinkedIn company exe (I think) and posted their key takeaways from the talk, which really resonated.
A sentiment engine using ChatGPT's completions API
OpenAI's completion API opens up endless possibilities to integrate powerful analysis of text based data and convert it to a structure response suitable for processing by your application. We have recently had a number of examples where we can leverage this technology. One task was to determine the sentiment of someones comment before displaying that comment on a public website.