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@Anup

AI Engineer @ Oxford Dynamics AI Engineering Newsletter - https://t.co/Dv6G8mdnIc

London Katılım Aralık 2006
3.8K Takip Edilen3.7K Takipçiler
Anup
Anup@Anup·
If you're trying to standardise how your team uses AI across the full software development lifecycle, this repo template is worth a look. github.com/pangon/ai-sdlc…
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Anup@Anup·
Claude Code as a self-managing AI team; one repo, multiple specialised agents (PM, architect, engineer, reviewer) coordinating autonomously. The agentic SDLC is here. github.com/CronusL-1141/A…
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Mistral AI
Mistral AI@MistralAI·
Today, we’re introducing Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge. 🌎 Forge bridges the gap between generic AI and enterprise-specific needs. Instead of relying on broad, public data, organizations can train models that understand their internal context embedded within systems, workflows, and policies, aligning AI with their unique operations. We have already partnered with world-leading organizations, like ASML, DSO National Laboratories Singapore, Ericsson, European Space Agency, Home Team Science and Technology Agency (HTX) Singapore and Reply to train models on the proprietary data that powers their most complex systems and future-defining technologies.
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Mitchell Hashimoto
Mitchell Hashimoto@mitchellh·
Ghostty 1.3.1 is now out, most importantly fixing the phantom mouse drag/select/scroll events on macOS. This release also includes improvements to AppleScript support and a couple dozen bug fixes. ghostty.org/docs/install/r…
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Anup@Anup·
@james406 <em dash> <em dash> some clever response <em dash> <em dash>
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james hawkins
james hawkins@james406·
i just woke up my daughter (2yo) to tell her i'd just discovered a new agentic AI framework that will 10x my productivity rubbing her eyes, she said, “dad, you haven't shipped a single meaningful feature that supports our KPIs for FY26. i'm struggling to believe a new framework you haven't tested will deliver meaningful shareholder value” hugging her, i started crying. they grow up so fast.
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Anup@Anup·
Claude all the way down
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MILA
MILA@milalolli·
If you are London based and Londonmaxxing building stuff. Drop a 🇬🇧 below 👇 I’m forming a group for IRL events and I want to see you there
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Anup@Anup·
This 👇🏽 💯
Garry Tan@garrytan

People get high on abstraction too early. They want the system before they’ve earned the insight. But the good abstractions are never designed. They’re discovered. You do the stupid manual thing enough times and the real bottleneck just emerges. Your initial agency might be driven by a hunch you had in the shower, but that moment won’t get you all the way to making something people want. The right way to make anything is forced on you by reality: what are the real jobs to be done? And what sequence? This is why “do things that don’t scale” still hits, especially now when AI makes it trivially easy to scale things that probably shouldn’t be scaled yet. PG’s point was never about suffering. It was about contact. When you’re the one manually doing the loop, you see the edge cases. The weird user behavior. The failure modes nobody designed for. The hidden dependencies that only show up at 2am when some flow or intermediate step breaks in a way you didn’t anticipate. If you automate before you have that contact, you just scale your misunderstanding faster. When the machines can help you vibe code perfection it gives you a false sense of power. I love that feeling as much as you do. But fuck perfection. Do it live. Be the loop. Feel every friction point. Notice what’s actually true every single time versus what just looked true because you hadn’t seen enough cases yet. Formalize that. Build the recursive version. Then keep checking that your abstraction is still attached to real humans and their needs. Because reality drifts. Your users drift. The ground truth changes under you. You may think you understand but no plan survives contact with the real users and what they want. You find those body blows in analytics and user feedback and we call them the roadmap. Humans left with not enough data hallucinate too. But just like the LLMs with enough data you unlock real transcendence. Real utility. Prosperity for humans in real life. The abstraction is a tool, not a destination. The moment you forget that, you’re cooked.

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Deedy
Deedy@deedydas·
I grew up reading Byomkesh Bakshi and Feluda: two legendary Bengali detective series that almost no one outside India knows. Now all ~70 novels are translated to English and free to read on grandoldbooks.com. My goal: build the world’s internet library. Every great book, in English, free forever. We shipped 10x more books in the last 48 hrs. Follow @grandoldbooks for more.
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Pratyush Kumar
Pratyush Kumar@pratykumar·
📢 Open-sourcing the Sarvam 30B and 105B models! Trained from scratch with all data, model research and inference optimisation done in-house, these models punch above their weight in most global benchmarks plus excel in Indian languages. Get the weights at Hugging Face and AIKosh. Thanks to the good folks at SGLang for day 0 support, vLLM support coming soon. Links, benchmark scores, examples, and more in our blog - sarvam.ai/blogs/sarvam-3…
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Anup@Anup·
@steipete Requested to join, hopefully the organisers will approve it 🤞🏽
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Peter Steinberger 🦞
Peter Steinberger 🦞@steipete·
We're doing another Agents Anonymous. Probably the last one - with me - for a while, at least in London. This is for builders. Even better when you wanna do a 5 min demo. We'll have to be quite selective on that so take some time on the signup notes. luma.com/6cnzck71
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Anup@Anup·
Armin Ronacher (creator of Flask) explores the philosophical implications of AI-generated code. If an AI rewrites every line of your codebase over time, is it still your project? A fascinating read on code ownership and the future of software development. 🔗 lucumr.pocoo.org/2026/3/5/these… How much AI-generated code does it take before a project loses its original "soul" or architectural intent?
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Anup@Anup·
"Academics studying the field say AI is collapsing the planning time required for complex strikes – a phenomenon known as “decision compression”, which some fear could result in human military and legal experts merely rubber-stamping automated strike plans." - @guardian theguardian.com/technology/202…
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Anup@Anup·
An MCP server that claims to reduce Claude Code context consumption by 98%. If this works as advertised, could be a game changer for longer sessions. Anyone tested it? mksg.lu/blog/context-m…
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