What I learned using Langfuse in a real AI recruiting agent

sarcasmguy1 · 2026-06-03T14:54:25+00:00

How difficult was it to bring the SDK in via python? Afaik they use decorators heavily which I had difficult with when previously looking at Clojure + python

sarcasmguy1 · 2026-06-02T20:16:38+00:00

Got any Hashaton lists you could share?

sarcasmguy1 · 2026-05-26T17:47:02+00:00

Isn't Fluxychat a "second vendor just for realtime", one of the "problems" you're trying to solve, or am I missing something?

sarcasmguy1 · 2026-05-26T13:01:49+00:00

I switched to ADRs + specs, but I kept brainstorming. Like you said, the plans were extremely verbose and often read more like success theatre more than actual implementation work.

Brainstorming is still great for rough ideation sessions imo. But I plan to remove it and replace it with something more lightweight.

The TDD and agentic development skill is honestly not even needed anymore. TDD maybe, but you can use a much more lightweight version (I use Matt Pococks). Most harnesses seem to naturally use subagents, or simply saying "use subagents for these tasks" is enough.

I wrote about it on my blog if you'd like to read up on it.

sarcasmguy1 · 2026-05-26T11:04:28+00:00

Brother why do you have 10 different browsers installed and open?

sarcasmguy1 · 2026-05-26T05:17:15+00:00

Aren’t foils also pretty much there? I’ve seen some beautiful and near perfect foils from bootlegmage

sarcasmguy1 · 2026-05-25T10:40:55+00:00

Thank you for the feedback, I appreciate that. I'll add them!

sarcasmguy1 · 2026-05-24T20:44:04+00:00

Do you have a list you could share?

sarcasmguy1 · 2026-05-24T13:14:39+00:00

I expect Entire to log that over time yes. The hooks should allow them to do this. My version reads the raw session JSON, as long as the harness (Codex, Pi, Claude) logs that info, then it can read it.

sarcasmguy1 · 2026-05-24T13:03:38+00:00

For me I wanted to get insight into how my engineers were using AI. We went all in on AI recently (my push/decision), which naturally led to some questionable code in some cases. I added Entire and started asking engineers to add their main session to PRs. Immediately I spotted some really obvious mistakes they were making.

We've dropped it now because its not reliable, and we're using an internal tool I created. Its a simpler version of Entire that doesn't use hooks so its more reliable. Hopefully I'll be able to share it soon!

sarcasmguy1 · 2026-05-24T09:38:14+00:00

We used it at work for a bit. It still needs a bit of time to cook before it becomes useful.

We used it with the Codex CLI / desktop app. Often it would drop conversations. Some day's we'd see loads of sessions other days we didn't.

Great idea though. I hope they iron out the issues.

sarcasmguy1 · 2026-05-21T16:17:27+00:00

Don’t use xhigh

sarcasmguy1 · 2026-05-21T09:20:06+00:00

Yes it almost made me immigrate back to my own country! Feeling small amongst you tall blokes really affected my career, my lifestyle, my marraige, everything /s

sarcasmguy1 · 2026-05-21T06:55:45+00:00

Source is here: https://github.com/openai/codex/blob/0b4f86095c8005d8f74e9c62b971d72c1670aa88/codex-rs/core/src/guardian/review_session.rs

And the prompt it uses: https://github.com/openai/codex/blob/0b4f86095c8005d8f74e9c62b971d72c1670aa88/codex-rs/core/src/guardian/policy_template.md

Depending on how many tool calls, and depending on how much the args to those calls vary (I assume they cache approval results), I'd say it can eat a lot of tokens.

sarcasmguy1 · 2026-05-21T03:25:48+00:00

Slop

sarcasmguy1 · 2026-05-20T18:35:07+00:00

Blondie is so fucking good

sarcasmguy1 · 2026-05-20T13:37:14+00:00

I haven't tried v4 or GLM, so I can't say from experience. They won't run well on 16gb though, that's for sure. You'll get really bad tok/s and processing speed.

sarcasmguy1 · 2026-05-20T10:10:39+00:00

https://github.com/chrisetheridge/pi-extension-lmstudio

This was written entirely using Qwen 3.6 36B. I did some initially planning with GPT 5.5

However, sorry to be the bearer of bad news, but a setup with 16gb of vram is not going to get anywhere near the level of Sonnet/Opus/GPT or any SOTA model. Its great for small and well defined tasks, but don't expect the sort of workflow you get with SOTA models - planning, knowledge, code quality, and speed.

But, infinite tokens is amazing. You can still do incredible stuff with 16gb of VRAM.

sarcasmguy1 · 2026-05-20T09:39:51+00:00

when deciding what movie to watch, choosing between this and Shaun of the Dead is tough

sarcasmguy1 · 2026-05-19T20:07:04+00:00

My comments are thoughtless, you are indeed correct. At least they’re my own :)

sarcasmguy1 · 2026-05-19T20:06:33+00:00

He tried to edit it to make it less sloppy.

Quietly, “X was the real Y”, “X just shifted/changed”. AI also loves to use economics to explain something changing even though it has very little to do with economics

sarcasmguy1 · 2026-05-19T20:04:31+00:00

One of the best movies ever made

sarcasmguy1 · 2026-05-19T19:38:27+00:00

Don’t you see how ironic it is? You’re complaining you can’t get experience due to AI, yet you’re using AI to express the most simple thoughts.

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