Kiro, Spec-kit, Bmad, Tessl, and other SDD frameworks turn business analysts into Markdown reviewers. Isn't there a more agile way to use Coding Agents?

Tidbits I've learned that have made my life better

AI is not a sector - it's a general purpose technology that will continue to shape all sectors. The real question isn't whether or not to regulate AI, but how to actively steer its development toward public value creation over extraction.

This is an experiment of rendering honey like fluid. / TSL / WebGPU

Recent advancements in Large Language Models (LLMs) have sparked interest in their formal reasoning capabilities, particularly in…

hard work isn't the tax you pay for living, it's the tuition for a life worth having -your fav gen z philosopher x

Jon Stewart tackles the AI revolution and how its creators are promising a better future while building technology to make human workers obsolete. #DailySho...

You're Invited to rdcl Connect We're bringing together executives and innovators from Pascal's global community for intimate conversations over coffee. This…

Historically, general approaches always win in AI. Founders in AI application space now repeat the mistakes of AI researchers.

In the past I used AI code editors for all of my programming, but I stopped using it and recommend others to consider this as well

Join Pascal Finette in our dynamic bimonthly live event series to dive into the heart of innovation. Pascal engages in candid conversations with eminent…

The radical Innovators & Disruptors Gathering is back! Join the radical team and the wider community for an hour of shared insights and lively discussion, all…

What happens in our brain as we die?

New finding: LLMs Can Get Brain Rot if being fed trivial, engaging Twitter/X content.

When the witty and wry English fantasy novelist Terry Pratchett interviewed Bill Gates for GQ in 1995, only 39% of Americans had access to a home computer. According to the Pew Research Center, the…

This report outlines findings from our 2025 Annual Literacy Survey, when children and young people's reading enjoyment and frequency were at an all-time low.

The Great Return: From Digital Abundance to Analog Meaning In the fall of 2025, I find myself living a paradox that defines my generation. Born at the peak of the digital revolution, I spent the last …

DNA analysis company 23andme has been in trouble lately: data was breached in a 2023 hack, and this September the entire board of directors resigned over disagreements with the CEO. That CEO, Anne Wojcicki, had said she was open to third-party takeover proposals; she only reversed that decision this week. The company is not currently for sale, but nothing about this is looking good—and it’s not clear what would happen to customer data if the company goes under.

Light Bio, a synthetic biology startup, announced that it is now selling its bioluminescent petunias in the U.S. With support from biotech leaders such as NFX and Ginkgo Bioworks, Light Bio is reimagining the horticultural industry by introducing a new category of plants that emit an ethereal glow.  People are fascinated with glowing plants, and…

In the 1960s, the CIA made a failed attempt to use bugged cats as spies. Secret Agent Kit E. Katt                            &n…

A community-driven platform for AI enthusiasts.

Pretty much every company I know is looking for a way to benefit from Large Language Models. Even if their executives don’t see much applicability, their investors likely do, so they’re staring at the blank page nervously trying to come up with an idea. It’s straightforward to make an argument for LLMs improving internal efficiency somehow, but it’s much harder to describe a believable way that LLMs will make your product more useful to your customers.

I’ve been working on internal “AI” adoption, which is really LLM-tooling and agent adoption, for the past 18 months or so. This is a problem that I think is, at minimum, a side-quest for every engineering leader in the current era. Given the sheer number of folks working on this problem within their own company, I wanted to write up my “working notes” of what I’ve learned. This isn’t a recommendation about what you should do, merely a recap of how I’ve approached the problem thus far, and what I’ve learned through ongoing iteration. I hope the thinking here will be useful to you, or at least validates some of what you’re experiencing in your rollout. The further you read, the more specific this will get, ending with cheap-turpentine-esque topics like getting agents to reliably translate human-readable text representations of Slack entities into mrkdwn formatting of the correct underlying entity.

Yesterday, the tj-actions repository, a popular tool used with Github Actions was compromised (for more background read one of these two articles). Watching the infrastructure and security engineering teams at Carta respond, it highlighted to me just how much LLMs can’t meaningfully replace many essential roles of software professionals. However, I’m also reading Jennifer Palkha’s Recoding America, which makes an important point: decision-makers can remain irrational longer than you can remain solvent. (Or, in this context, remain employed.)

“Personalised learning” is one of those educational terms used so often that it is hard to pin down exactly what it means. It has been applied to everything from one-to-one in-person tu…

I’m calling bullshit on the idea that pedagogy needs to catch up with AI. As an educator who uses AI, I know firsthand its profound limitations. Technologists’ view of education is cond…

Dive into the world of AI engineering with this exploration of Deep Research in report generation. Learn how LLM-as-a-judge systems, machine learning, and evaluation techniques shape implementations from Google, OpenAI, and Perplexity, and uncover what sets them apart.