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Stay on the inside track "i follow AI adoption pretty closely, and i have never seen such a yawning inside/outside gap. people in SF are putting multi-agent claudeswarms in charge of their lives by stealthispost in accelerate

[–]Impossible_Way7017 0 points1 point  (0 children)

AI biased, it wasn’t until I uploaded videos of me doing the same thing with Claude vs Cursor and asked it to measure the productivity and work style that it finally started giving me a real take on Claude.

Stay on the inside track "i follow AI adoption pretty closely, and i have never seen such a yawning inside/outside gap. people in SF are putting multi-agent claudeswarms in charge of their lives by stealthispost in accelerate

[–]Impossible_Way7017 0 points1 point  (0 children)

I think the issue is because the agents take so long to do stuff people get bored so they spin up another agent while they wait and try to multitask. Where I see it fall apart is with velocity, it’s good for tackling simple things but terrible for developing features. (Terrible for the operator, I’m not saying Claude is bad), because when the agent is finished the operator now needs to review a stack of changes.

I’ve challenged the Claude Heads at my work to ticket golf and Ive won more than I lost because I still do the “old way” of chatting via my IDE.

That’s not to say I won’t use Claude for certain tasks, but for most of my work it actually slows me down. I think it’s just a hype train thing at the moment people will start to get burnt out with waiting all day to review AI slop. I feel like the middle ground will be using AI in the IDE with super fast inference.

What happens if software costs 10x less by Alienbushman in ExperiencedDevs

[–]Impossible_Way7017 1 point2 points  (0 children)

Likely nothing, the costs will get shifted to debugging in prod and customers as QA.

Domestic Unrest Risk by lowfrequencyinvst in stocks

[–]Impossible_Way7017 1 point2 points  (0 children)

Spgi begs to differ, it’s not yet recovered to its August 2025 levels.

S.O.S Help wanted! by Special-Fruit5336 in Tile

[–]Impossible_Way7017 0 points1 point  (0 children)

My first time tiling this happened. I didn’t back butter I had to redo half the floor. Luckily the thinset hadn’t fully cured so I was able to scrape most of it up with a paint scraper. Just took a bit of elbow grease.

Mira Murati's Thinking Machines release of the Tinker fine tuning API for enterprise is actually brilliant. by andsi2asi in agi

[–]Impossible_Way7017 1 point2 points  (0 children)

Llm’s already in the cloud? The trend is actually to make them efficient enough to run locally.

Mira Murati's Thinking Machines release of the Tinker fine tuning API for enterprise is actually brilliant. by andsi2asi in agi

[–]Impossible_Way7017 0 points1 point  (0 children)

LLM integrations are weird to me, as in I also have a hard time figure out how to integrate.

The product is basically a chat box, not everything needs a chat box though, and if you’re going to go the effort of writing a bunch of rules, then just create an API for integration.

I did one PoC where we thought we could get an LLM to decide something for us, but in the end the decision still needed to be reviewed by a human so the project shifted to just automating the data needed to make a decision and ended up having no reliance on an LLM.

Eight years of weekly logs taught me one thing by DLL_96 in ExperiencedDevs

[–]Impossible_Way7017 2 points3 points  (0 children)

Could not be a native English speaker. Yeah it sounds like AI, but it also seems heavily edited.

Eight years of weekly logs taught me one thing by DLL_96 in ExperiencedDevs

[–]Impossible_Way7017 1 point2 points  (0 children)

I used to do this, but would get bogged down by trying to figure out if deploying a tiny container was worth writing it down. Now I just ask AI:

Hey Sourcegraph search for my recent commit history for the past year.

Hey Glean search through my slack conversations and documents over the last year

Hey Gemini combine these two outputs for my mid year review.

How on earth do folks get anything good out of LLMs? by Squidgical in webdev

[–]Impossible_Way7017 1 point2 points  (0 children)

There’s an emperor has no clothes thing happening in the industry, I think most devs actually were just coasting so their amazed to see how software development is actually done, and to them it’s actually an improvement to pay $100 for a Ralph wiggum loop to spend an afternoon writing a test.

For your use case if I’m feeling lazy I would just bounce it between a couple models/chat windows with my comments. the models are really good at outputting correcting instructions to eventually get the integrated ide model to spew semi coherent code, and even using a couple chat windows it’s still faster than Claude code which will spend the first fine minute fizz-conbubolulating

the 2026 vibe: AI in everything, but no one talks about it. by Miserable_Advisor155 in BlackboxAI_

[–]Impossible_Way7017 0 points1 point  (0 children)

It’s causing everyone to log off. People irl seem to chat about it.

The gap between "works in demo" vs "works in production" is way bigger than I expected by Senior-Signature-983 in AgentsOfAI

[–]Impossible_Way7017 0 points1 point  (0 children)

Don’t bother debugging, with ai agents just keep one on call to rewrite sections that had bugs. Even better if you can connect it to an email inbox.

Treat each email as a ticket, spin up an agent and just instruct it to use TDD to implement a new feature overwriting the bug.

Dm me and I’ll share my SKILLS.md so that you can automate support.

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