My Thoughts on AI, Part 2: Agent Setup, Workflow, and Tools
My own personal AI development setup, workflow, and tooling
Good design hasn’t changed with AI — John Pham, SF Compute
My Thoughts on AI, Part 1: Fears, Opinions, and Mental Journey
My own personal thoughts and opinions on AI effects and usage, and how those have evolved over time
AI is Creating Peak Software, Media is the Best Analogy
Let's learn more about the world's most important manufactured product. Meaningful insight, timely analysis, and an occasional investment idea.
We build AI that works for humans
Imbue builds AI to help people think, create, and build. We share our tools openly because we believe progress in AI should be collaborative and developer-driven
Thoughts on thinking
I have been stuck. Every time I sit down to write a blog post, code a feature, or start a project, I come to the same realization: in the context of AI, what I’m doing is a waste of time. It’s horrifying. The fun has been sucked out of the process...
X : What are you interested in? Me : Wow, that varies constantly. Right now? There are a number of topics that I'm actively pursuing … a) When we talk about software engineering we typically think… | Simon Wardley
X : What are you interested in? Me : Wow, that varies constantly. Right now? There are a number of topics that I'm actively pursuing … a) When we talk about software engineering we typically think about the active part of creating code but software development is currently practised as a craft not an engineering discipline. The only engineering discipline in software engineering is testing. This creates a flaw in the comparison with using AI to code because development itself has never been optimised. If all we have to do is write code and we can automate that part then we can just replace those expensive typists with LLMs but development should be, and has the capability to become an engineering discipline. It's just not that for now. https://lnkd.in/eSRprhbf b) Most people talking digital sovereignty are doing so with good intentions but they literally have no idea what they are talking about. This is not because they are daft or foolish but because they cannot see the environment they are talking about. They are like generals talking about territorial sovereignty with no idea of what territory is or how you represent it. https://lnkd.in/eku2X_Ea c) Architectural decisions are made in code and not in the diagrams we create. Those architectural diagrams are more like prompts, wishes and beliefs of what a system should be but rarely reflect the actual system. This creates additional problems when the real architectural decisions are made by coders but coding itself is a craft not an engineering discipline. d) The current crop of LLMs / LMMs are driving us towards a new theocracy. We can counter this through diversity, critical thinking and open approaches but that does mean we have to get to the point of all symbolic instructions being open. That includes the training data. Copyright is a distraction from the real issue that we don't know what the systems are being trained on. Guardrails are a post event kludge. https://lnkd.in/exJVmNvD e) The medium we use in conversational programming environments such as cursor and lovable (or what we call vibe coding when not looking at the code or Software Engineering + AI when looking at the code) appear to be flawed. We are focused on text not images. The change of medium changes the conversation, the corollary is the conversation we have around the screen and the one we have around the whiteboard. Same problem, different medium, different discussion. https://lnkd.in/e_W6b6z3 f) "Value" in consulting land is mostly theatre rather than something meaningful. There are many forms of value but often we fail to identify this, quantify it or even measure it. https://lnkd.in/eeNbR_VY g) Rewilding Software Engineering. To change software development into an engineering practice, we need to introduce two wolves - one that software engineering is a decision making process and secondly that we need to build tools for problems we are facing - https://lnkd.in/epyUnqgh
Impressions from visiting OpenAI, Anthropic, & Cursor
A peek into where software engineering is headed from inside the sector’s leading AI labs. Agents running in the cloud are a major trend, while coding harnesses are spreading beyond the craft
How much of a UX designer’s job can AI really do? Here’s my day…
I don't think AI will make your processes go faster
Explore the delirious rantings of Frederick Vanbrabant. A blog focused on the intersection of Enterprise Architecture, product, and business strategy.
AI | 2025 Stack Overflow Developer Survey
84% of respondents are using or planning to use AI tools in their development process, an increase over last year (76%). This year we can see 51% of professional developers use AI tools daily.
AI Angst
My input stream is full of it: Fear and loathing and cheerleading and prognosticating on what generative AI means and whether it’s Good or Bad and what we should be doing. All the channels: Blogs and peer-reviewed papers and social-media posts and business-news stories. So there’s lots of AI angst out there, but this is mine. I think the following is a bit unique because it focuses on cost, working backward from there. As for the genAI tech itself, I guess I’m a moderate; there is a there there, it’s not all slop. But first…
Developers, Reinvented – Thomas Dohmke
What started as fear of AI replacing developers is switching to pragmatically embracing the ambitious reality of AI and viewing it as a growth opportunity. As we build the tools of tomorrow, we can usher developers through this reinvention of their role in ways that are intuitive, delightful, and cater to developers’ curiosity, keeping them fulfilled and happy during the transition. That makes us optimistic. Realistically.
AI, I tried to love you – Writings and rehearsals by Nathan Schneider
Among my peers who study the cultures and economies surrounding technology, I often find myself more tech-positive than most. On the whole I like computers, like the internet, and like in general the emergent human creativity that these things have enabled and revealed. A source of my appreciation is that I expend a lot of effort on the practice of “slow computing,” which is to say, choosing tools and technical communities that I can feel in right relationship with. I tend to approach new socio-technologies (like gig economies, blockchains, and social media) not from a perspective of why is this so bad? so much as asking how could we do this right?
How I’d start my engineering career today
If you could start your engineering career over today, here’s what actually matters now that AI has made most coding skills nearly worthless.
