Prafull

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Prafull

Prafull

@prafull

#compassion, #curiosity, #engineering, #coding, #UX, #dancing, #iDreamOfTraveling

Carlsbad, CA Katılım Eylül 2008
3.3K Takip Edilen652 Takipçiler
Andrew Brown
Andrew Brown@andrewbrown·
My Claude Code Essentials has dropped on @freeCodeCamp My special guest instructor is @GunnarGrosch where he built MCP that can play DOOM. I also have hidden an easter egg in the course. So waiting to see until somebody notices lol. I am working to release my Claude Code Architect Associate study course this week. I am a thinking about a Codex course just as a backup to Claude Code.
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Piotr Mińkowski
Piotr Mińkowski@piotr_minkowski·
I created my Claude Code template repo for the Spring Boot app with instructions, skills, and subagents.💡 It is desired to create an app that connects to the DB, is deployed on Kubernetes, and runs tests with Testcontainers, and some others 👉github.com/piomin/claude-…
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Prafull
Prafull@prafull·
@AbhiCodes15 Another way to ask - how do they pay their bills?
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Abhi
Abhi@AbhiCodes15·
Can someone explain how these open source projects actually make money? -Git -Linux -Docker -OpenClaw -Kubernetes
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Prafull
Prafull@prafull·
@OfficialLoganK @ammaar @GoogleAIStudio In our household - the dinner, we talk about what to cook for breakfast the next day. During breakfast, we talk about what to cook for lunch... You get the point!
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Logan Kilpatrick
Logan Kilpatrick@OfficialLoganK·
Tomorrow we will unveil the all new vibe coding experience in @GoogleAIStudio, the team has spent 4 months rebuilding it all from scratch and smoothing out rough edges to help everyone bring their ideas to life. This is a big step forward, but just the start : )
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Prafull
Prafull@prafull·
@alexalbert__ Didn't pop up in my feed until it was too late. Sad 😞
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Alex Albert
Alex Albert@alexalbert__·
We're hosting a webinar today at 10am PT that should be very helpful for folks trying to learn how to apply AI to their work. We'll be sharing best practices on how to use new products like Claude for Excel/Powerpoint. Attendees will also get one month free of Claude Pro.
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Prafull
Prafull@prafull·
@mayemusk That baby rocket is creating an optical illusion
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Prafull
Prafull@prafull·
@NotebookLM (1) Chat across multiple notebooks (2) Cross-pollination of ideas and opportunities on a related topic
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NotebookLM
NotebookLM@NotebookLM·
Ok ok ok. Let's talk about folders (gasp!) We are exploring several notebook-level organization options, but would love to know: Is there something specific about *folders* that you want? Or would an easy way to filter/search/tag/find your notebooks suffice? Help us, help you!
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Prafull
Prafull@prafull·
@bcherny Does it depend upon GitHub? The demo video shows PR being created in GitHub. We use bitbucket.
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Boris Cherny
Boris Cherny@bcherny·
New in Claude Code: Code Review. A team of agents runs a deep review on every PR. We built it for ourselves first. Code output per Anthropic engineer is up 200% this year and reviews were the bottleneck Personally, I’ve been using it for a few weeks and have found it catches many real bugs that I would not have noticed otherwise
Claude@claudeai

Introducing Code Review, a new feature for Claude Code. When a PR opens, Claude dispatches a team of agents to hunt for bugs.

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Prafull
Prafull@prafull·
@shadcn Is this all free? Are these sample UI screens available for anyone to reuse or remix?
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shadcn
shadcn@shadcn·
You can now build translucent dropdown menus, selects, and comboboxes on shadcn/create. Mix in your custom styles, icons, fonts, and radii and build something different. Your own preset. All it takes is a few clicks.
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Markus Eisele
Markus Eisele@myfear·
AI can generate code. But building reliable software systems still requires structure, architecture, and discipline. At #IBM #TechCon 2026, I’m running a short 3-talk series on AI-assisted development with Bob, Java, and Quarkus. Register for free: ibm.biz/TechCon2026
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Prafull
Prafull@prafull·
@gailalfaratx A wise man once said - It's easier to seek forgiveness than to ask for permission!
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Gail Alfar
Gail Alfar@gailalfaratx·
A friend of mine wants a cybertruck, but her husband is firmly against it. She’s having trouble focusing and sleeping, she’s doing everything to butter him up, making homemade apple pie, cleaning the house, but the guy still firmly says no, I am running out of advice… any ideas?
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Chipotle
Chipotle@ChipotleTweets·
@prafull Would you mind sending us a DM so we can take care of this? -Michael
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Prafull
Prafull@prafull·
Thank you, @ChipotleTweets for going above and beyond (to Mexico) for keeping it "real"!! Identify an extra ingredient in my veggie bowl (with guac)!!
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0xSero
0xSero@0xSero·
Top AI accounts to follow - karpathy best thought leader, best person to learn from imo. Nanochat is the best way to get into training LLMs its the simplest and most digestible source for building your first AI model - steipete This guys GitHub is a national treasure, his writing is also very strong. Peekaboo, summarize.sh, openclaw, oracle, just talk to it, etc.. all unique and very useful - badlogicgames Mario’s Pi is a staple AI engine and possibly the best, simplest, open source agentic loop to learn from. Despite what people say about his methods, I think he’s going to set some new standards for Open source contribution. Big respect. - theo Highly educated on the technology, wired into the news, he’s where I go for all my AI news t3.chat is the best way to use the Gemini image models right now, the canvas feature is wonderful for thumbnails - matanSF I can put the whole Factory team here, their articles, features and aesthetics are world class. Regardless of what you think of the aesthetics their docs details how they made the best context engine & permissions system in AI - TheAhmadOsman This man is the GPU king, giveaways and lots of dense educational content around self hosting and home inference. He’s also tight with pretty much all the open weight labs and has them on for interviews regularly - alexinexxx I genuinely feel motivated by her drive. She’s a real hard worker learning about GPU kernel programming. Also good aesthetics - digitalix Another excellent YouTube channel that will teach you about self hosting on various types of hardware. A great deep look into AI hardware. - gospaceport I would not have gotten into building my own hardware without this man’s hard work. He’s taught me so much about hardware and the economics of this. He also has the most impressive homelabs I’ve ever seen. - alexocheema The founder of Exolabs, pioneering Apple hardware inference, he’s also very engaged in the community and a good guy all around. If you are interested in Mac minis and Mac Studios this is your guys. - atmoio Single handedly bringing logic back to software engineering online. His content is the most realistic and comforting. If you’re scared of the future I recommend you watch a few of his videos - LLMJunky If you want to become the most cracked codex user this is your man here. Top tier content should get hired by OpenAI NGL. - HotAisle This guy is the AMD AI king, his product hotaisle is possibly the cheapest, simplest way to run massive models for pruning, observations and quantization. - LeeLeepenkman Funny man, that’s all I’ll say. Also cracked. - SarahChieng Sarah is one of the smartest people I’ve met working at the frontier of hardware. Lots of really deliberate, refined content, guides and info on her account. - nummanali This guy is so prolific, he’s made tons of CLI tools for managing llm subscription budgets, using Claude code with alternative models etc.. - dexhorthy His talk “No vibes allowed” should be required before you can install any CLI agent. - thdxr The entire Opencode team is wonderful but Dax specifically is a good writer. More anti-doomer content to sooth your anxieties. - trq212 This guy has the most difficult job in AI, HUGE respect. - juliarturc If you are interested in the science, Julias channel is where it’s at. Almost everything I’ve learned about LLM compression has been from her. - Teknium The Nous research & Prime intellect teams are both some of the most hard-working and principled people around. Tough fight in an industry so aggressive.
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Prafull
Prafull@prafull·
@rseroter @boristane Eventually, I hope. However, just like the "Digital Transformation", this paradigm shift requires org alignment more than technology upgrades. Many organizations don't even have "product-oriented" engineering. They still budget for "projects".
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Richard Seroter
Richard Seroter@rseroter·
This post from @boristane left me shook. What a powerful call to action. "The SDLC is dead. The new skill is context engineering. The new safety net is observability." "When every feature took weeks, you had to decide upfront what to build. That constraint is gone." "Design is becoming something you discover by giving the agent the right context, not something you dictate ahead of time." "The pull request flow needs to go. I was never a fan, but now it’s just a relic of the past." "Monitoring is the only stage of the SDLC that survives. And it doesn’t just survive, it becomes the foundation everything else rests on." Brilliant stuff. boristane.com/blog/the-softw…
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Prafull
Prafull@prafull·
X Chat integration with the Tesla App as well as the Tesla itself... Just an idea for good folks at @Tesla or @xai
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Prafull retweetledi
JetBrains
JetBrains@jetbrains·
Databao Agent ranked #1 in the Spider 2.0-DBT Benchmark. The open-source data agent is a part of Databao, our new tool for agentic analytics. Find out more on how we achieved this here: blog.jetbrains.com/databao/2026/0…
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Prafull
Prafull@prafull·
@RaulJuncoV Minor correction - p95 = 800ms → 95 users were at or faster than 800ms, 5 were slower.
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Raul Junco
Raul Junco@RaulJuncoV·
p50, p95, and p99. How many p's are there, and what do they mean? Short answer: p = percentile. It shows how performance is distributed, not the average. How many “p’s” exist? There are percentiles from p0–p100; in practice we usually look at : • p50 → median • p90 → early slowdowns • p95 → SLA baseline • p99 → tail latency • p99.9 → ultra reliability systems (Google and Amazon watch p99.9) Imagine 100 users hitting your API p50 = 120ms → 50 users were at or faster than 120ms, 50 were slower. p95 = 800ms → 5 users were at or faster than 800ms, 5 were slower. p99 = 2.5s → 99 users were at or faster than 2.5s, 1 was slower (this is where frustration lives). Why track percentiles instead of averages? Average latency hides pain. Example: 100ms 110ms 120ms 130ms 5000ms Average ≈ 1,092ms ❌ p50 = 120ms p95 = 5000ms ✅ Knowing p50, p95, and p99 helps you: • spot latency spikes before outages • understand real user experience • detect scaling and contention issues • design safer retries, timeouts, and backpressure • set meaningful SLAs • prevent “fast but unreliable” systems Users don’t experience your average. They experience your worst moments. Ignore the tail, and production will remind you. When did p99 last surprise you?
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