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TestDriven.io

TestDriven.io

@testdrivenio

Teaching practical programming through real-world applications. Tweets by @MikeHerman and @JanGiacomelli.

Denver, CO Inscrit le Aralık 2017
168 Abonnements38.4K Abonnés
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DjangoCon US
DjangoCon US@djangocon·
Got a talk idea but you don't think it's right for DjangoCon US? Think again. We want #Django talks, and: 👥 Community 🛣️ Infrastructure & Performance 🤖 AI 🏛️ Philosophy & Ethics ☕️ Third Party Libraries 🌐 Databases 🔒️ Security CFP ends Monday 📢 2026.djangocon.us/speaking/
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Martin Fowler
Martin Fowler@martinfowler·
NEW POST Conversations with AI are ephemeral, decisions made early lose attention as the conversation continues, and disappear entirely with a new session. @techygarg explains how to externalize the decision context into a living document. martinfowler.com/articles/reduc…
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SumitM
SumitM@SumitM_X·
As a developer, Do you know what is the difference between CHAR and VARCHAR?
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DjangoCon US
DjangoCon US@djangocon·
The DjangoCon US 2026 Call for Proposals 📢 has been extended one week! ✅️ Already got yours submitted? This is a great time to tell a friend that you'd love to see them talk. 📝 Still working on yours? You have a little extra time. 2026.djangocon.us/news/cfp-deadl…
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Gracia
Gracia@straceX·
Interviewer: There is exactly ONE concert ticket left. 10,000 fans click 'Buy' at the exact same millisecond. How do you guarantee only one person gets it without crashing the database?
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Jazzband
Jazzband@jazzbandco·
After more than 10 years, Jazzband is sunsetting. Thank you to the 3,135 members who were part of this. jazzband.co/news/2026/03/1…
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Mario Cervera
Mario Cervera@macerub·
Don't listen to people saying learning to code isn't worth it. Demand for software developers is only going up. And even if AI automated 100% of coding, which it won't, knowing how things work under the hood will only make you better.
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Conrad Barski
Conrad Barski@lisperati·
One annoying thing about thinking hard to solve technical problems is that a successful solution almost always involves reformulating the question in a way that makes the answer simple Then, I feel bad that it took me 3 days to come up with an "obviously simple" answer
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Mason Egger
Mason Egger@masonegger·
Exactly. Just like I said in my blog mason.dev/blog/code-is-n…
calle@callebtc

I'm fascinated by this level of existential crisis developers seem to be going through. The uncomfortable truth is nobody needs you to be an artisan coder. Nobody cares about how you coded your app, or whether you feel an emotional attachment to your craft. You were always code monkey with a high enough salary to believe that your individualist craftsmanship matters to anyone. It doesn't matter to anyone but you. Not your employer, not your customer. Nobody cares about how you made the product. Nobody cares about your attachment to your process. You're experiencing the same as countless other artisans have experienced in the last century. I'm happy for you. You were starting to believe that you're a demigod amongst mortals. You're not. A machine is better than you. Now you're free.

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Guido van Rossum
Guido van Rossum@gvanrossum·
I've just released a new version of typeagent, a Python library I've been working on since mid last year --more and more using Claude-- that implements memory for agents. Not originally my idea, I mostly ported the TypeScript version by Steve Lucco and Umesh Madan. This release was improved a lot by Bernhard Merkle. To install, use "pip install typeagent". Changelog: github.com/microsoft/type…
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Yury Selivanov - e/python
Yury Selivanov - e/python@1st1·
⏰ New PEP alarm! ⏰ Limitations in software engineering are meant to be broken. For years I was bothered with the gap between Python and TypeScript: one has incredibly dynamic and powerful runtime, the other has incredibly dynamic and powerful type system. So why not both? 🔥
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Will McGugan
Will McGugan@willmcgugan·
More frustration in a post AI world... Dev misunderstands an APIs behavior. Asks AI "why is this library doing this thing wrong"? AI emphatically confirms bug in library. Dev writes confident issue explaining bug to the maintainer. Wall of text with supporting "evidence". AI is susceptible to leading questions. It will give you the answer you are looking for virtually every time. If you ask AI "why is this library producing the wrong output" or variation thereof, if will often hallucinate a bug for you rather than correct you.
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Raymond Hettinger
Raymond Hettinger@raymondh·
#Python design tip: Only use @property for O(1) operations. People rightly expect that anything that looks like attribute access is fast. Don't want to Cntl-C out of an attribute lookup that Deep Thought takes 7.5 million years to compute: >>> life.meaning 42
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