The AI coding advice that works for someone else probably won't work for you. Not because they're wrong, but because the tools aren't stable enough for best practices yet. https://t.co/RMNV7DCFsn #AIEngineering #LLMs #SoftwareDevelopment #AICoding

Scaling RAG in production isn't an LLM problem. It's a systems problem wrapped around a language model. https://t.co/yn9Wz450Rc #RAG #AIEngineering #LLM

Imagine a UI generated on the fly for every query. That’s the idea behind Google’s Generative UI paper. I unpack the architecture, the prompt, and why this shift matters for agent-first applications. https://t.co/TAEiQwDFXv

Senior developers are better at using AI agents than junior developers. Not because they code faster. Because they already know how to delegate, communicate clearly, and spot when something looks right but isn't. People management = AI management. https://t.co/JnXf1Y6oQi

GPT-5.1 is out! It's a nice upgrade. I particularly like the improvements in instruction following, and the adaptive thinking. The intelligence and style improvements are good too.

Python and ML Books for FREE! - Intro to ML - ML Projects - Think Python - Python for Data Analysis If you want a FREE copy, 1. Like + Repost 2. Comment 'Python' 3. Follow me @python_spaces so that I can DM you.

Reading time: 2–4 days. Which, to be fair, is still faster than fine-tuning. https://t.co/nSOfFtwkzP

Fine-tuning dropped from hottest trend to <10% of AI workloads in two years. Now it's coming back. Not as hype, but as the last 10% that actually matters. Turns out some problems need you to teach the model your language, not just describe it in a prompt. https://t.co/SakxYUcdyV

Stop trying to understand research papers in one read. Pass 1: Abstract + intro + conclusion (is this even relevant?) Pass 2: Full read, flag gaps Pass 3: Revisit with fresh context It's a workflow, not a puzzle. Treat it like one.

Built a crisis support voice AI in 90 minutes at a hackathon and won. Full breakdown of the build + 7 tactics for shipping fast. https://t.co/O3jTytTlzK

I love how Claude is so wholesome that it literally tells me to use a competitor’s product. 😂 Peak confidence. Peak alignment.

Read this paper to know how to 'actually' read a paper! I've highlighted the key points -> now this 10 min read of 3-pass apprach will change your paper reading technique for good! 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: — First Pass (5-10 minutes) Quick scan for bird's-eye view — Second

Your AI strategy doesn't need another slide deck. It needs experiments that teach you what actually works in production. https://t.co/cCgNFsUUJp

I tested ChatGPT Atlas vs Perplexity Comet on real automation workflows. Atlas won on reliability, so I'm switching over for now. https://t.co/EnOhHVMw95 #atlas #openai #Perplexity #comet

Frontier models often get the right answer, but wander their way there https://t.co/byaL6dGElr #AIEngineering #LLMs #Reasoning #AIAgents

I’ve launched AI Engineering Premium: a deeper tier for those building real AI systems. Technical essays, playbooks, templates, and early access to posts. 🔗 https://t.co/3pjC5kAoCd #AIEngineering #LLMs #AgenticAI #MLOps

Prompt engineering is imprecise by nature. Control vectors let you dial model behaviour with a single number instead of rewriting prompts endlessly. Takes ~60 seconds to train. https://t.co/2RZ2lXTYu6 #AIEngineering #LLMs #MachineLearning

i gotta get RLHF book print edition done stat

I always assumed CSV was the safe bet for LLMs. Turns out I was wrong. Read my TIL here: https://t.co/6ZVitlX1q1

TIL: DSPy lets you skip writing prompts. You define the task and it handles prompt generation and optimisation. Feels like a smarter future for prompt engineering. 🚀 Check out my thoughts: