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#TechTwitter What is the recommended toolchain for deploying @djangoproject projects from GitHub to a VPS? I am looking at setting up automated deployment from different branches, into different environments #PythonDev
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That girl from second year is gonna be SO happy today! Proud to share my Scam Bait AI project just cracked the Top 6 at #CodexDEL! 🥳 #AIAgents #Hackathon #PythonDev #CodexDEL Thank you to the team of codex for giving me a spot that day! @KushalVijay_
A little late, but we have the WINNERS for @OpenAI Codex Hackathon Delhi Edition! 50 Submissions and here are the TOP 10 📷 👇 @OpenAIDevs @gabrielchua @reach_vb @KushalVijay_ @Param3021
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REAL QUICK - why does Docker feel like speaking a foreign language? 🐳 My container keeps crying about port conflicts & I have NO IDEA why it won't start. 😩 Are y'all actually cool with this or is it just me? Help a tech girl out. 🙏 #Docker #LearnInPublic #PythonDev
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Replying to @elonmusk
Pay-Per-Use GA XMCP Python & TypeScript XDKs. X just became a serious developer platform. 💻⚡ Agents can now interact with X natively. Builders can ship faster than ever. The era of X-powered AI apps just started. 🔥 What are YOU building with the X API? ⬇️ Drop it below 👇 #XAPI #XDevelopers #XMCP #BuildOnX #AIAgents #PythonDev #TypeScript #ElonMusk #DevTwitter #TechNews
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Happy to share the release of Inferscale 0.1.1 🎉 This lightweight Python package helps AI developers generate higher-quality LLM responses using inference-time scaling techniques—perfect for working within limited budgets. It’s practical, easy to integrate, and focused on real improvements. Take a look at the README and try it yourself: github.com/mbaddar1/InferSca… Contributions and feedback are always welcome! If you’re interested in gaining deep insights into AI and solving real technical and business problems, follow me. Join my X community (AI for Entrepreneurs): x.com/i/communities/19918901… #AI #LLM #PythonDev #OpenSource #MachineLearning #AIDevelopment
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Quality vs cost is a constant tradeoff in LLM applications. With Inferscale 0.1.1, you don’t have to choose as much. This lightweight Python package helps boost response quality using inference-time scaling—no heavy infrastructure or retraining required. Built for developers who want practical gains without complexity. Take a look: github.com/mbaddar1/InferSca… Curious to see how others use it! If you’re interested in gaining deep insights into AI and solving real technical and business problems, follow me. Join my X community (AI for Entrepreneurs): x.com/i/communities/19918901… #AI #LLMEngineering #PythonDev #OpenSourceAI #GenAI #TechLaunch
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Better LLM outputs don’t always require bigger models. With InferScale documentation, you can leverage inference-time scaling to boost response quality while keeping costs low. The approach focuses on combining outputs and selecting the best responses dynamically. If you're building with open-source LLMs, this is a practical way to compete with larger proprietary systems without the compute bill. The documentation provides clear guidance, examples, and workflows to get started quickly. Explore it here: mbaddar1.github.io/InferScal… If you’re interested in gaining deep insights into AI and solving real technical and business problems, follow me. Join my X community (AI for Entrepreneurs): x.com/i/communities/19918901… #AI #LLM #OpenSourceAI #PythonDev #AIDevelopment #Inference #GenAI #DeepLearning
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LLMs are powerful but costly to optimize. That’s why I’m excited to share Inferscale 0.1.1, a lightweight Python package that helps you generate higher-quality responses at inference time, without scaling compute costs dramatically. Think smarter outputs, not bigger models. If you're working with LLM pipelines, prompt engineering, or response optimization, this tool can make a real difference. Explore it here: github.com/mbaddar1/InferSca… Feedback and contributions are welcome! If you’re interested in gaining deep insights into AI and solving real technical and business problems, follow me. Join my X community (AI for Entrepreneurs): x.com/i/communities/19918901… #AIEngineering #LLMOps #PythonDev #OpenSourceAI #GenAI #ArtificialIntelligence
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66% of devs frustrated with AI code that's "almost right, but not quite." 83% stuck on Python versions a year old or older. The ecosystem moves faster than the tooling. Python 3.8–3.13 fluency, live API verification, root-cause debugging through call chains, dependency conflict detection, project state tracking across sessions. Async patterns, type system, Polars migrations, Django 5.x — researched before written. Built with senior engineer methodology → jenova.ai/a/python-coding-as… #Python #PythonDev #FastAPI #Django
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Just finished my first functional app in Python! 🙌 Grateful for the power of AI. #PythonDev #AIFuture #TechInnovation #tech #growth
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Replying to @Sm1ley__Girl
Print()😎 #PythonDev
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Replying to @MicrosoftLearn
Yeah, 100% agree. Translating tech risks into business impact is the underrated superpower in 2026. Pure coders get overlooked for promotions because managers reward those who speak "boardroom" fluently. It hurts, but it's fixable. practice framing every bug/risk as a business story. Who else feels this blocks career growth? 🐍💼 #TechCareer #PythonDev
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✨ List Comprehensions: Concise List Creation (Python) #Python #PythonDev #DataScience #WebDev #100DaysOfCode #DevLife
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I built my personal assistant, Jason Not an AI SaaS. Not cloud-based. Not tracking anything. Just local. Just fast. Just useful. #flask #pythondev #selfhosted #developers
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