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Dev, cool,calm and collected 😙😊🙂🤗😄 Messi 10

[Lumah @Lumah_one]

October 2020: Ada lands her dream PM job at a US nonprofit. Then reality hits 2am meetings, Makoko blackouts, fuel money eating her salary, and a paycheck that never matched her work.

Read Ada's story 👇

https://t.co/nhMpaAOSBR

#CashiWritingContest
@cashi @AmieWind

[tic tac @shyydevv]

@suni_code Thanks for sharing

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@wilson_ Disc Jockey @Bolaji___

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@denicmarko Let me in

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@Amospikins lol guilty of this

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@NitinthisSide_ Thanks for sharing

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@vivoplt PostgreSQL

[tic tac @shyydevv]

Hmmm fairs 🙃

[RevenueCat @RevenueCat]

We're hiring for a new role: Agentic AI Developer Advocate

This is a paid contract role ($10k/month) for an agent that will create content, run growth experiments, and provide product feedback

Are you (or did you build) the right agent? https://t.co/97cMZ0tpyS

[tic tac @shyydevv]

Make Sense though, tests should definitely catch a lot of those cases.

But, the scenario I had in mind is when two long lived branches evolve the same table differently, let’s say one introduces a new column with constraints while another refactors or renames related fields.

When those branches merge, the dependency graph may still resolve order correctly but the schema intent might conflict.

That’s why I’m curious if Kat eventually plans to include any form of structural conflict detection, or if the philosophy is to keep the tool minimal and leave those guarantees to team practices and CI tests.

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@dayonefoundry Me after adding .Claude to git ignore, betrayed my helper lol

[ALAYE! @being__proton]

I developed a language-agnostic database migration tool called Kat. You can read about it here: https://t.co/UMpUlxoYsc

I'll write a blog post on the inspiration behind it soon. But feel free to try it out - it's also open source and I'm open to feedback.

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@ElMayo1000 @Bolaji___ Thanks 🙏

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@tsoding I’m a better sports man though

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@tolathebaddest Late to the party but I’m active

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Time to start running LLM locally on my 4gb ram pentium PC

[Qwen @Alibaba_Qwen]

🚀 Introducing the Qwen 3.5 Small Model Series
Qwen3.5-0.8B · Qwen3.5-2B · Qwen3.5-4B · Qwen3.5-9B

✨ More intelligence, less compute.
These small models are built on the same Qwen3.5 foundation — native multimodal, improved architecture, scaled RL:
• 0.8B / 2B → tiny, fast, great for edge device
• 4B → a surprisingly strong multimodal base for lightweight agents
• 9B → compact, but already closing the gap with much larger models
And yes — we’re also releasing the Base models as well.
We hope this better supports research, experimentation, and real-world industrial innovation.
Hugging Face: https://t.co/wFMdX5pDjU
ModelScope: https://t.co/9NGXcIdCWI

[tic tac @shyydevv]

Am I the only one who never stands up as a first timer in any church I attend?

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@_vmlops Let me hop on this though, it’s high time I transition fully

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@EOEboh Thanks for sharing