Oğuz Dumanoğlu

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Oğuz Dumanoğlu

Oğuz Dumanoğlu

@oguzdumanoglu

software craftsman & dreamer & builder & hungry & foolish / bilingual tweets: Türkçe & English

Universe Katılım Haziran 2009
385 Takip Edilen464 Takipçiler
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Oğuz Dumanoğlu
Oğuz Dumanoğlu@oguzdumanoglu·
You can’t always solve real world problems by throwing them technology. Technology is only a leverage in most cases. One simple example; if there is no food supplies available, then food delivery apps would just be useless. This is most tech people don’t get.
Yenişehir, Türkiye 🇹🇷 English
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Aaron Levie
Aaron Levie@levie·
Jevons paradox is happening in real time. Companies, especially outside of tech, are realizing that they can now afford to take on software projects that they wouldn’t have been able to tackle before because now AI lets them do so. We’re going to start to use software for all new things in the economy because it’s incrementally cheaper to produce. Marketing teams at big companies will have engineers helping to automate workflows. Engineers in life sciences and healthcare will automate research. Small businesses will hire engineers for the first to build better digital experiences. And as long as AI agents still require a human who understands what to prompt, how to review when an agent goes off the rails, how it guide back, how to maintain the system that was built, how to fix the ongoing bugs, and more, we will still have humans managing these agents. This is why all the advice you get of not going into engineering is wrong. The world is going to increasingly be made up of software, and the people that understand it best will be in a strong economic position. This will happen in other roles as well where output goes up and demand increases.
Lenny Rachitsky@lennysan

Engineering job openings are at the highest levels we’ve seen in over 3 years There are over 67,000 (!!!) eng openings at tech companies globally right now, with 26,000 just in the U.S. We don’t know if there would have been more open roles if not for AI or if AI is actually leading to more open roles, but since the start of this year, the increase in open eng roles is accelerating even more.

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a16z
a16z@a16z·
The comfortable middle is over for software. Growth has stalled but true profitability still hasn't arrived — most of the sector is stuck: too slow for a premium growth multiple, too diluted for a fortress multiple. a16z's David George says CEOs have 12-18 months to pick exactly one of two paths: a16z.news/p/there-are-on…
a16z tweet media
David George@DavidGeorge83

x.com/i/article/2036…

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Adi Singh
Adi Singh@adisingh·
The 24-29 year old engineer will soon become the most valuable asset in technology. Pre-AI principles + Post-AI speed is an undefeated combo
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Farza 🇵🇰🇺🇸
Farza 🇵🇰🇺🇸@FarzaTV·
I rather take 1000 shots where I try something new and fall on my face in front of everyone vs be the guy that has 1000 ideas and never goes after any of them.
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gabriel
gabriel@gabriel1·
start a company assuming: 1) models will become 10x better 2) the only bottleneck for humans is making as many well informed decisions as fast as possible in a great interface lovable are so impressive, they understood this at gpt 3.5 and the same logic still holds
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Ben Vinegar
Ben Vinegar@bentlegen·
Building software is cheap Maintaining it remains expensive
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Oğuz Dumanoğlu
Oğuz Dumanoğlu@oguzdumanoglu·
If you wonder what is “Peaceful Tea” in NoWarNoCry country, let’s meetup and discover together in the @istanbulphp event! 🤓We will talk about building RAG with Symfony AI library and tools! @symfony @official_php Tomorrow 20:30 Turkish time, but this time it will be in Turkish!
Oğuz Dumanoğlu tweet media
istanbul PHP User Group@istanbulphp

Kimler yarın akşam "Symfony AI ile RAG Sistemleri Geliştirmek" etkinliğine katılıyor?🤩 InterNations ekibinde Sr. Backend Engineer olarak çalışan @oguzdumanoglu, deneyimlerini paylaşmak üzere yarın akşam 20.30'da online olarak bizimle olacak. Kayıt ve detaylar Kommunity'de👇

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Damian Player
Damian Player@damianplayer·
a year later and this is still the most important distinction nobody talks about. agency is more powerful than intelligence and it’s not close.
Andrej Karpathy@karpathy

Agency > Intelligence I had this intuitively wrong for decades, I think due to a pervasive cultural veneration of intelligence, various entertainment/media, obsession with IQ etc. Agency is significantly more powerful and significantly more scarce. Are you hiring for agency? Are we educating for agency? Are you acting as if you had 10X agency? Grok explanation is ~close: “Agency, as a personality trait, refers to an individual's capacity to take initiative, make decisions, and exert control over their actions and environment. It’s about being proactive rather than reactive—someone with high agency doesn’t just let life happen to them; they shape it. Think of it as a blend of self-efficacy, determination, and a sense of ownership over one’s path. People with strong agency tend to set goals and pursue them with confidence, even in the face of obstacles. They’re the type to say, “I’ll figure it out,” and then actually do it. On the flip side, someone low in agency might feel more like a passenger in their own life, waiting for external forces—like luck, other people, or circumstances—to dictate what happens next. It’s not quite the same as assertiveness or ambition, though it can overlap. Agency is quieter, more internal—it’s the belief that you *can* act, paired with the will to follow through. Psychologists often tie it to concepts like locus of control: high-agency folks lean toward an internal locus, feeling they steer their fate, while low-agency folks might lean external, seeing life as something that happens *to* them.”

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Garry Tan
Garry Tan@garrytan·
Software engineering accounts for nearly 50% of all AI agent tool calls. Healthcare, legal, finance, and a dozen other verticals are barely touched, each under 5%. That's a hundred AI unicorns waiting to be built. garryslist.org/posts/half-the…
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istanbul PHP User Group
istanbul PHP User Group@istanbulphp·
İstanbul PHP olarak yeni bir etkinlikle sizlerleyiz! 🎉 InterNations ekibinde Sr. Backend Software Engineer olarak çalışan @oguzdumanoglu, "Symfony AI ile RAG Sistemleri Geliştirmek" sunumu ile 13 Mart Cuma günü, online olarak bizimle olacak. Etkinlik detayları ve kayıt için👇
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Oğuz Dumanoğlu
Oğuz Dumanoğlu@oguzdumanoglu·
All that advancements in AI, official Nvidia event and the goddamn pointer still doesn’t work 😅😅 event guys seem to be safe.
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Eren Bali
Eren Bali@erenbali·
AI writes 90% of my code and I handle the remaining 90%.
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Ryo Lu
Ryo Lu@ryolu_·
software is still about thinking software has always been about taking ambiguous human needs and crystallizing them into precise, interlocking systems. the craft is in the breakdown: which abstractions to create, where boundaries should live, how pieces communicate. coding with ai today creates a new trap: the illusion of speed without structure. you can generate code fast, but without clear system architecture – the real boundaries, the actual invariants, the core abstractions – you end up with a pile that works until it doesn't. it's slop because there's no coherent mental model underneath. ai doesn't replace systems thinking – it amplifies the cost of not doing it. if you don't know what you want structurally, ai fills gaps with whatever pattern it's seen most. you get generic solutions to specific problems. coupled code where you needed clean boundaries. three different ways of doing the same thing because you never specified the one way. as Cursor handles longer tasks, the gap between "vaguely right direction" and "precisely understood system" compounds exponentially. when agents execute 100 steps instead of 10, your role becomes more important, not less. the skill shifts from "writing every line" to "holding the system in your head and communicating its essence": - define boundaries – what are the core abstractions? what should this component know? where does state live? - specify invariants – what must always be true? what are the constants and defaults that make the system work? - guide decomposition – how should this break down? what's the natural structure? what's stable vs likely to change? - maintain coherence – as ai generates more code, you ensure it fits the mental model, follows patterns, respects boundaries. this is what great architects and designers do: they don't write every line, but they hold the system design and guide toward coherence. agents are just very fast, very literal team members. the danger is skipping the thinking because ai makes it feel optional. people prompt their way into codebases they don't understand. can't debug because they never designed it. can't extend because there's no structure, just accumulated features. people who think deeply about systems can now move 100x faster. you spend time on the hard problem – understanding what you're building and why – and ai handles mechanical translation. you're not bogged down in syntax, so you stay in the architectural layer longer. the future isn't "ai replaces programmers" or "everyone can code now." it's "people who think clearly about systems build incredibly fast, and people who don't generate slop at scale." the skill becomes: holding complexity, breaking it down cleanly, communicating structure precisely. less syntax, more systems. less implementation, more architecture. less writing code, more designing coherence. humans are great at seeing patterns, understanding tradeoffs, making judgment calls about how things should fit together. ai can't save you from unclear thinking – it just makes unclear thinking run faster.
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Apoorva Mehta
Apoorva Mehta@apoorva_mehta·
we are living in the industrial revolution of knowledge work
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