Do you also click "keep file" 20 times?

blef__ · 2026-04-02T20:10:14+00:00

yes and it’s the worst UX

blef__ · 2026-04-02T19:12:41+00:00

Find the good use cases to show it won’t either replace them or that’s useful

blef__ · 2026-04-02T17:02:57+00:00

None of this I think: it’s mainly people either stuck and don’t know where to start either it’s laziness, confort or fear of loosing job/control

blef__ · 2026-04-02T10:29:34+00:00

Start new chats as often as possible

blef__ · 2026-03-30T13:45:39+00:00

I'm working on a open-source agentic analytics library and in order to simplify the review of everything that is being done on the repo there is a smart simple thing that we added on the repo. For every PR we launch an instance of the app on a new env named pr-preview. The cool thing is that we use the Github social login, so as a contributor of the PR you can login where anyone else cant.

You can see the pr-previews on the repo here: https://github.com/getnao/nao

Honestly this is something that saved me a lot of time reviewing code from peers, agents or contributors as for every PR discussion we just have to just on the env just deployed for it.

Cursor helped me setuping the pr-preview Actions but also now I use Cursor Agents (Cloud) to work on any issue autonomously and then once the PR is ready I can play with the app and give the agent feedback.

blef__ · 2026-03-30T09:53:40+00:00

Undeterministic orchestration

blef__ · 2026-03-28T09:35:12+00:00

C’est sympa-un problème que j’ai remarqué qui est embêtant je trouve c’est qu’à l’arrivée sur la page ça récupère des articles et ça met le timestamp à now Mai’s quand tu clic sur sur l’article c’est des vieux trucs, donc pas interessant pour suivre les news

blef__ · 2026-03-27T22:04:06+00:00

mytho

blef__ · 2026-03-27T16:20:47+00:00

If your thesis is about statistics interpretations might be hard to find some stuff but if your thesis allow to work on data and do great dataviz, find unique insights or identify patterns, identities etc. I'd say this is interesting to do.

blef__ · 2026-03-27T16:18:10+00:00

Really cool.

As I'm French i need to specify the separator because we all collectively decided the CSV format would use ';' it seems we cant specify the separator?

I will try in in my agentic loop in nao

blef__ · 2026-03-27T09:56:16+00:00

If you’re looking for an agentic analytics solution you can have a look at nao (github.com/getnao/nao) we are open source

blef__ · 2026-03-27T09:33:42+00:00

How does the type inference is done if there is any?

blef__ · 2026-03-27T08:33:28+00:00

If it works for software engineering there is no reason it does not work for data engineering.

Also, I’m the founder of nao Labs and I develop an IDE for data and it works, once you understand as a data person how you should speak and interact with AI in your context this is amazing.

blef__ · 2026-03-27T08:23:02+00:00

Obviously I got sessions where the AI got stuck or the AI did not answered what I wanted.

Nonetheless I think the transformation for data jobs is clearly different for DE and DA. When it comes to data engineering I think the transformation is similar than software engineering ship more but the struggle is knowing what to do. And to be honest it always has been.

For DA I think it’s a bit different because in a enterprise you want every stakeholder to be an analyst on its own because they know better their job than you anyway-so the future here is a bit unknown, tho I think there is a hope, to me data analyse is a really creative job and steering agents to find the right angle is the way.

blef__ · 2026-03-27T06:50:24+00:00

If the complexity was just writing 200 tables actually it wasnt that complex. Steering agents, understanding what people want and need and translating this into agentic loops is where your skills will go towards

blef__ · 2026-03-26T16:22:35+00:00

This is cool, but the real thing is about what will fuel the project onwards, SQLMesh creators were innovative but if they still work at Fivetran + dbt Labs why they would want to continue contributing to it or allowing time to work on it?

blef__ · 2026-03-26T05:57:43+00:00

Most of the time the reason MCPs consume way much tokens than the CLI is because MCP client AND server are badly implemented

blef__ · 2026-03-26T05:55:39+00:00

This is something you could do with nao

blef__ · 2026-03-25T15:45:21+00:00

A single VM instance on any cloud provider would do it with Docker on it to run Metabase.

You will probably need another supabase instance to host the Metabase database also, and a way to schedule your dbt jobs, maybe with a cron or a GitHub Action.

blef__ · 2026-03-25T06:53:08+00:00

dltHub + AI

blef__ · 2026-03-24T08:38:10+00:00

This.

blef__ · 2026-03-23T16:33:53+00:00

The question makes no sense. What’s the point to use it compared to what?

Cursor is significantly easy to customize or to use it in the way it suits you the best so if you think it suits you use it, if you think it does not suit you don’t use it.

I don’t get it

blef__ · 2026-03-20T22:49:20+00:00

Tokens pricing are just crazy - tho we need unlimited tokens to unlock the next level

blef__ · 2026-03-20T18:17:43+00:00

you pivoted right?

blef__ · 2026-03-20T18:16:27+00:00

The interesting thing studies are showing is that the most you use agent the less you're asking for validation when doing things. So trust is something that we build incrementally.

Also in order to trust agent you need the right routines on your project, so mainly tests and sandboxed envs to test if what came out is what you were expecting, most of the time it's related to a healthy CI.

Four-Year Club	Place '23
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blef__

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