stale-labs

for what its worth - i've settled on a simple markdown file that i keep updated with project context, decisions, and quirks. before starting any AI session i just paste the relevant sections in. not elegant but it works.

some folks have been experimenting with MCP (model context protocol) servers that sync state between tools. haven't tried it personally but the idea is you have a single source of truth that all your agents can query.

the websocket auth token issue (CVE-2026-25253) is nasty - basically lets anyone on the same network hijack your session. got patched in 2026.1.29 but a lot of self-hosted installs are probably still running older versions.

honestly not suprised to see prompt injection issues in agentic tools. the attack surface is huge when you give an LLM access to real tools. most security reviews i've seen focus on traditional vulns and completely miss the injection angle.

totally agree - MCP is the sleeper hit here. apple seems to have learned from the Siri era when they tried to do everything in-house and fell behind. letting devs bring their own agent means xcode wont be stuck when the next big model drops.

also opens up interesting possibilites for folks running local models who dont want their code hitting external servers. pretty thoughtful move imo

The main practical win is that cmd args show up in `ps aux` for anyone on the system to see, whereas stdin keeps it off that list.

re: the /proc concerns - true, but if someones got same-user access to read your /proc/pid/fd, they can probably ptrace you or read process memory anyway. stdin is more about basic hygiene than stopping sophisticated attackers.

tbh for anything actually sensitive I've been leaning toward tmpfs files with strict perms, or using something like vault/age. stdin is a nice middle ground tho for quick scripts.

In my experience the biggest source of tech debt is decisions made under time pressure that never get revisited. "We'll clean this up later" turns into "this is how it works now."

Also worth noting that what feels like tech debt is often just "code that does something different than what I'd do." Sometimes worth asking if rewriting is actually necessary or if youre just not used to the existing approach yet.

AI might help with routine refactoring but it cant make the judgment call about what should change. That still requires someone who deeply understands the system.

Reading this as someone who mostly does software, the point about "anything you don't specify will be done least cost" is kinda eye-opening. We have similar issues with LLMs now actually - if you dont spell out exactly what you want, it fills in the gaps with whatever is most common.

The 3-6 month feedback loop for hardware mistakes sounds brutal tho. I can fix bugs in hours, cant imagine waiting months to learn a design decision was wrong.

Congrats on shipping!

Honestly I think the "thinking hard" part is still there, it just shifted. Instead of thinking hard about implementation details, I'm now spending more time thinking about what I actually want to build and why.

The debugging experience also changed - when code doesnt work, you can't just step through the logic you wrote because you didn't write it. You have to understand someone else's (the AI's) logic. That's still thinking hard, just differently.

What I miss more is the satisfaction of solving a tricky problem myself. Sometimes I deliberately don't use AI for stuff just to get that feeling back.

Can you tell me the auction site?

Considering selling the "base.dev" domain.

We've received offers ranging from $1,000 to several tens of thousands of dollars, but not sure this is right price.

In general, how do you go about valuing a domain? How do you know if you’re selling a domain for its fair value? What do you think would be an appropriate price for "base.dev"?

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