Starting a new open source project with the aim of developing an artifact standard for verifiable system diagrams. Check out some of the demo diagrams principal-ai.github.io/subsystem-mode…

welcome to my coooode

Code quality will continue to matter even when humans don’t read the code youtu.be/ciRTdOIhNCc?is…

Today we’re launching maps in Eraser: AI-powered architecture maps.

Eraser’s AI builds an interactive map from your cloud, code, CMDB and spreadsheets. Every level and every state of a system, in one map 👇

I'm not sure how I feel yet about zip ties in state machine diagrams

Doing an analysis of the constructs for the human layer repo

i think i kept seeing people say "monorepos are good for agents"

but we just switched to multi repos. i have a hard time caring about the benefits of monorepos anymore

Thoughts: just-be.dev/blog/code-revi…

I've been working on a new visualisation experience for users in @event_catalog .

With "Levels" you can now decide what view of your diagram you wish to see.

Level 1 - Domains, systems and actors
Level 2 - Services and data
Level 3 - Messages and channels

These new levels can and your architecture through different lenses either staying at a high level or diving deeper.

Now live 🙌

We've been working on building trace intelligence across all your company sessions. We're building dimensions of trace data especially relevant to the offices of a CTO, CISO, and CFO. You'll be able to answer things like "how often do files in your codebase show up in agent read does it cost" (an example visual below)

This is a fun but gnarly data engineering challenge. But IMO the real story is all the software we are creating along the way. We're building internal tools to evaluate schema choices, we use data from our agent to evaluate the types of queries to optimize for (using Jev and Luna to classify), we build visual profiling tools test query performance throughout. Making software now is so much more fun and interesting.

Anyways, I can't wait to show this stuff off. Your agent trace data contains multitudes and you need many ways to look at it. Also, if this is interesting enough that you might want to run a pilot, please DM!

I spent the majority of my career building observability tooling

this tooling should be used to close the loop between production and coding agents, in service of self-improving software

I put my thoughts down

boristane.com/blog/self-impr…

People ask me how I ship omarchy sw so fast. 🧵

The answer is Clarity.

Clarity is where all my projects live, from the first idea to running live. Every project gets a map, a status, its questions and decisions, a backlog, testing and its GitHub, in one place. Every AI chat fore it starts.

Made with Clarity with a buddy of mine, lets call him Daniel, not on X and wont be.

Here's Blip, my iMessage app for Linux, going through it.

Code is cheap now. Understanding isn't.

Introducing Spinal: a low-latency, predictive surface to grok and keep up with any codebase. From weekend hacks to mature behemoths.

Linux kernel, 1.48M commits: first search results in <20 ms.

Waitlist: spinal.sh

👀👀 "[…] we provide several examples of AI mistranslations of natural language (NL) statements and proofs into Lean in practice, resulting in mismatches between NL proofs and their Lean 'verifications'. These include OpenAI's announced Navier-Stokes proof. In particular, we show that the formalised Lean proof does not correspond to the NL proof of blow-up of solutions to the Navier-Stokes equations."
arxiv.org/abs/2610.08144

PR guides are now available in capy and they have made reviewing code so much easier

- overview summary with diagram breakdown
- diffs broken down and sorted into logical sections
- tests and generated files collapsed by default
- moved code detection

working at a higher level of abstraction has always required understanding the lower level ones, I don't think coding agents changes this

This will replace Excalidraw for me. Ferroprint.

Ferroprint after the ferroprussiate process that made the first blueprints

I built Petal, a free, open-source disk-space explorer for macOS.

The chart draws itself while it scans. It flags what's safe to delete (Xcode builds, node_modules, caches) and tells you exactly what deleting frees.

Rust + GPUI. Inspired by the recent syntax.fm v1PO2akUl

Talks like this are important for maintaining a level head about progress in software development youtu.be/F8fBgDCf2Y4?is… via @YouTube

maybe don't ship 2k+ file PRs

But if you do, let the PR explain itself

Try it here: github.com/coldteadotai/p…

If you get bored drawing architecture diagrams, you can now spawn a rider and drive around your diagram.

Draw and press SHIFT + R on koboyo.com