Kristofer Palmvik.
E-mail
kristofer@palmvik.sePhone
+46 705 886414
Postal address
Kristofer PalmvikHamngatan 16 D
582 26 Linköping
SWEDEN
Social media
About Kristofer Palmvik
I love to develop useful and cool things with lots of data. Love to work with other people. Love to travel the world.
MSc Information Technology with specialization in Media Informatics. Professional experience of software engineering, ranging from modern frontend web to high-performance databases and cloud infrastructure.
Interested in working with product development in a web based environment. Quick to learn new skills and handle new situations. Thrives in a demanding environment together with a great team.
Aim to be a valuable part of a small company and develop a world leading product or service with high quality and professionalism.
See my professional experience and current position on LinkedIn. Let's connect!
Currently reading
I enjoy reading books about a wide range of subjects.
- Goliath's Curse: The History and Future of Societal Collapse by Luke Kemp, and
- AI Engineering: Building Applications with Foundation Models by Chip Huyen.
A recent favorite book is Shift (Silo, #2) by Hugh Howey.
My notes
Observations on building software, working with teams, and exploring the world. A mix of professional thoughts and personal logs.
- 2026‑04‑21
The manual is missing – we are writing it
The feeds make it easy to feel left behind when it comes to AI. But history proves the hype is usually louder than reality. Since there is no manual for this era, trying things and sharing even the mundane experiences could be useful. We are writing the manual.
- 2026‑04‑08
The AI writes the code, but the team decides the direction
I have barely typed a single line of code at work for more than a year. Using LLMs and AI agent has changed a lot. But we still need the collaboration in a great team to make sure we go in the right direction.
- 2026‑04‑05
Deconstructing LinkedIn with systems thinking
Stop reading LinkedIn at face value and use systems thinking to map out the consequences and mental models the author missed.
- 2026‑03‑20
Wasted time is unfortunately a prerequisite for value
Impact in knowledge work isn't linear. Most of the day can feel like a waste, and then you make a breakthrough that changes everything.
- 2026‑03‑18
The best colleagues don't keep their knowledge to themselves
The most valuable colleagues aren't just individual experts. They are multipliers who prioritize sharing knowledge over hoarding it.
- More of my notes...
Whitebrd.
A public collection of links I'm reading and referencing since 2008. Articles, tools, and resources relevant to my work and interests.
- 2026‑04‑23
The Lazy Tyranny of the Wait Calculation
There are really two questions that matter when it comes to the Wait Calculation for AI: How good? And how fast? In other words, how good can this particular run of AI technology (either LLMs or their immediate successors) get in terms of human achievement; and how fast will this happen?oneusefulthing.org - 2026‑04‑23
Do we need version control?
Imagine a world without version control. A world where there is only one version of the software. This is the latest version, and the version that runs in production. Imagine not having to struggle with merge conflicts, getting rid of your git cheat sheet and always knowing exactly what code runs in production.wolman.se - 2026‑04‑22
LinkMyPrompt
Create a shareable link for your prompt and open it instantly in ChatGPT, Claude, Gemini, Grok, or Perplexity — one click, and the prompt is ready to run.linkmyprompt.com - 2026‑04‑22
China is winning one AI race, the US another - but either might pull ahead
We don't know where AI is taking us. Big US tech firms want to rush into that unknown future without guardrails; the Communist Party of China wants the state to oversee that research. One version promises a hyper version of consumer capitalism; the other, a world in which the state determines what you can or can't do with this technology.bbc.com - 2026‑04‑22
Four flow-obstructing trends in the wake of the AI hype
We as an industry right now, have got an amazing tool that will forever change how we develop products (and do many other things too). But we are viewing it with the same focus at productivity, cost-reduction and efficiency gain that we did before this paradigm shift. This leads us wrong; instead lets think about how we can optimize the entire value chain and create real value. Who knows, maybe the bottleneck in our process cannot be solved with faster output?marcusoft.net - More of my collected links...