1,227 karma · joined October 21, 2019
10 MCP servers as device drivers (exchange APIs, browser automation, Apple docs, issue tracking).
200+ skills as prose runbooks that compose system calls. Agent-mail for IPC between parallel
agents. A drift detector called "wobble" that scores skill stability using bias/variance analysis.Good code isn't dying. The cost of bad code just went up.
Waymo's fleet is ~700 cars. The internet has millions of hours of driving footage. This technique turns the entire internet into a sensor suite. That's a bigger deal than the simulation itself.
One session's scaffold assumes one pattern. Second session scaffold contradicts it. You reviewed both in isolation. Both looked fine. Neither knows about the other.
Reviewing AI code per-session is like proofreading individual chapters of a novel nobody's reading front to back. Each chapter is fine. The plot makes no sense.
The lock file approach (current_tasks/parse_if_statement.txt) prevents two agents from claiming the same task, but it can't prevent convergent wasted work. When all 16 agents hit the same Linux kernel bug, the lock files didn't help — the problem wasn't task collision, it was that the agents couldn't see they were all solving the same downstream failure. The GCC oracle workaround was clever, but it was a human inventing a new harness mid-flight because the coordination primitive wasn't enough.
Similarly, "Claude frequently broke existing functionality implementing new features" isn't a model capability problem — it's an input stability problem. Agent N builds against an interface that agent M just changed. Without gating on whether your inputs have changed since you started, you get phantom regressions
Agent teams in this release is mcp-agent-mail [1] built into
the runtime. Mailbox, task list, file locking — zero config,
just works. I forked agent-mail [2], added heartbeat/presence
tracking, had a PR upstream [3] when agent teams dropped. For
coordinating Claude Code instances within a session, the
built-in version wins on friction alone.
Where it stops: agent teams is session-scoped. I run Claude
Code during the day, hand off to Codex overnight, pick up in
the morning. Different runtimes, async, persistent. Agent
teams dies when you close the terminal — no cross-tool
messaging, no file leases, no audit trail that outlives the
session.
What survives sherlocking is whatever crosses the runtime
boundary. The built-in version will always win inside its own
walls — less friction, zero setup. The cross-tool layer is
where community tooling still has room. Until that gets
absorbed too.
[1] https://github.com/Dicklesworthstone/mcp_agent_mail
[2] https://github.com/anupamchugh/mcp_agent_mail
[3]
https://github.com/Dicklesworthstone/mcp_agent_mail/pull/77I haven't opened Xcode in months. My terminal: Claude writes code. build_sim. launch_app_sim. screenshot describe_ui.
What still requires Xcode: Instruments profiling, Signing/provisioning
For UI iteration, describe_ui returning the accessibility tree might actually be more useful to an agent than a preview screenshot.
Ran it on my sessions. Result: none of skills scored STABLE. The structural predictors of high variance: Numbered steps without clear default, Options without (default) marker, Content >4k chars (overthinking zone), Missing constraint language
[1] https://github.com/anupamchugh/shadowbook (bd wobble)
I ran into this building a spec/skill sync system [1] - the "sync once" model breaks down when you need to track whether downstream consumers are aware of upstream changes.
[1] https://github.com/anupamchugh/shadowbookWhether Bitcoin is good at this is debatable. Whether it's a real use case isn't.
https://loeber.substack.com/p/a-timeline-of-the-openai-board
Related read: https://www.techtris.co.uk/p/openai-set-out-to-show-a-differ...
It’s convulated
Here's the top-most featured snippet when I google if programming languages had honest slogans: https://medium.com/nerd-for-tech/if-your-favourite-programmi...
Half of the above post is plagiarised from my 2020 post: https://betterprogramming.pub/if-programming-languages-had-h...
Here's the link to my non-paywall story for references:
https://medium.com/humor-bytes/i-your-nba-highlights-broadca...
On the topic of assistance, where do detectors draw the line between AI-augmented, aided, and generated writing?
ChatGPT's response: https://imgur.com/a/u7iBBaX
GPTZero's response: https://imgur.com/a/89icz2X
To be clear, my story was ChatGPT-assisted. But I wonder why ChatGPT couldn't detect it correctly like GPTZero?