🐌 Joseph NOMO (@CodeHacker237) header
🐌 Joseph NOMO (@CodeHacker237) profile picture

πŸ‡¨πŸ‡² | Backend Dev | Manga / Comics | Currently building https://teapawt.org/t.co/zalpA9TB96 | Dad of a lovely little girl

Douala-cameroun
Joined November 2010
L’empereur
Fans de MbappΓ©, c’est le moment de sortir vos plus belles photos de Kylian ! Partagez celles que vous gardez prΓ©cieusement dans vos tΓ©lΓ©phones, qu’on se fasse plaisir et qu’on oublie un peu ce qui se passe en ce moment.
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Le mien a abusΓ© sur la vodka
Demandez un peu Γ§a Γ  votre IA et posez le rΓ©sultat. Copiez le prompt en commentaire πŸ‘‡πŸΎ
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The level of detail
πŸ€– Made with AI
Tell ChatGTP β€œFill this room with everything you know about me” Post it here and let’s see what you got. Should be fun, don’t air me 🌚
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Replying to @TheHokageYonko
Pardon arrΓͺtez d’inventer le miroir de Yata repousse toute sorte d’attaque pas juste le ninjutsu. Je ne sais pas exactement ce qu’on raconte dans l’animΓ©, je vais essayer de regarder. Mais dans le manga de Kishimoto ce n’est pas Γ§a.
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Replying to @Grandsoncr7
This meat riding is diabolical
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I started adding playwright full tests suite on my pipelines; it’s better to do that in this era.
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Zoro a encore beaucoup de chemin Γ  faire. Luffy ne peut mΓͺme pas se tenir debout quand Kaido fait la mΓͺme chose.
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Replying to @yakora717
Sanji avait ses gΓ¨nes Germa actifs lorsqu’il a bottΓ© le laser de Borsalino, lΓ  actuellement ce n’est pas le cas Les Vinsmoke sont insensibles Γ  ce genre de trucs.
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Lately, I’ve been building an agentic workflow around the way I work. The idea is not to remove myself from the process, but to stay focused on the important part: what are we building, why, and how should we approach it? I stay involved with the agents until the architecture is clear and I’m happy with the direction. Once that part is validated, the workflow takes over a lot of the heavy lifting: build, test, debug, review. I also have the agents maintaining a wiki as they work, so decisions are explained and the work is documented properly in case I need to come back later. That’s really where the acceleration comes from for me. I’m still very much in the loop, just spending more of my time on decisions and less on the coding side.
πŸ€– Made with AI
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I don’t want to assume that scale automatically means splitting the system. I want to see where the monolith actually starts becoming the constraint. Until then, I’d rather optimize what I can measure than distribute what I don’t need to.
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The focus for me is different this time. I want to reduce internal network hops, keep transactional flows simpler, and have tighter control over what happens inside the application while going deeper on database indexing, locking, concurrency, transaction design, CPU and memory profiling, query performance, idempotency, and clean domain boundaries.
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Now I’m building a new payment orchestration engine, and this time I decided to start with a monolith. Not because I think microservices are bad, but because I want to push the monolith experience much further and see what it can really handle before distribution becomes necessary.
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For the past three years, I’ve been building and operating a payment orchestration platform around microservices. That experience taught me a lot about distributed systems, service boundaries, scaling, infrastructure, and the operational complexity that comes with all of that.
πŸ€– Made with AI
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