Pranshu Khanna

Pranshu Khanna

@pran.sh

something and someone all at once 👾 📍 Berlin, Germany ꩜ Community ꕥ opinions my own ✨

224 followers293 following225 posts

🎤 Sasha Denisov (CTO, brainform ai; GDE) on shipping AI on-device: model choices, runtimes, and where CPU, GPU and NPU behave differently. 🎤 Jacek Golebiowski (Co-founder & CTO, @distil_labs) on post-training small language models using your production traces & a live build.

sending the same agent step to a frontier model thousands of times a day? we're hosting a models night on replacing those calls with small models: post-training, evals, a live build + on-device AI Oct 15, 18:00–21:00 · distil labs join us luma.com/3q4cjah8

luma.comAAIF Berlin · Small Language Models Night at Distil Labs · LumaAgents at scale keep sending the same few steps to a frontier model thousands of times a day, and the latency and the bill climb with every call. Swap in a…

love open source programs that show up where maintainers are

CodeRabbit is free for Open Source, and with out 10 million commitment it shows that we are serious about supporting OSS maintainers. The below data just proves the belief OSS community has, 195% increase Since Jan 26, half a million reviews done in only July.

are we back chat? someone just launched twitter.now after X dropped the brand. claim is basically: → Twitter is reclaimed → not X → early access → "freedom of speech, not reach" → trust signals no idea if this is real or just an internet moment.

i made a directory of 96 developer ambassador/champion/campus programs. ♥️ ai, devtools, cloud, OSS, data, frontend, student programs, all in one place. check it out if you write tutorials, build demos, run meetups, contribute, or help devs learn tools. pran.sh/blog/awesom...

pran.shAwesome Developer Ambassador ProgramsA curated list of developer ambassador, champion, expert, campus, and community programs for builders who write, speak, teach, organize, and create in public.

i kept losing track of which companies run developer ambassador programs, so I started a list. 📜 it's grown into 90+ programs - Microsoft, Google, NVIDIA, GitHub, HashiCorp, and more. open source and community-maintained, issues/PRs welcome. ♥️ github.com/pransh15/De...

github.comGitHub - pransh15/DeveloperAmbassadorPrograms: A list of Developer Ambassador ProgramsA list of Developer Ambassador Programs. Contribute to pransh15/DeveloperAmbassadorPrograms development by creating an account on GitHub.

i wrote a little something about adoption stonks for models 📈 also, why highest ai benchmarks are great for investors and headlines but devs don't care. companies are spending on ai, but most of it comes from the cheaper models. give it a read ↓ pran.sh/blog/reliab...

pran.shHighest AI benchmarks ≠ adoption stonksAnthropic's most expensive model is stalling at 11% of spend while cheaper models handle the daily workload. The FT piece, and the Hacker News thread under it, say a lot about what developers actually adopt versus what they admire.

I've got a follow up from yesterday! 💡 I wrote about what sets the bar, and realized that if I have shared the problem, I also have to write about how can these projects show receipts. TL;DR | Nobody trust agents because of launch hype. New post → pran.sh/blog/trust-...

pran.shCoding agents need receipts, not fansTeams will not trust coding agents because of launch hype. They will trust them when they can see what the agent handles well, where it fails, and how other engineers use it.

i’ve been noticing a pattern on Launch HN lately: it’s slowly turning into a coding agent directory. every week there’s another agent that opens PRs, fixes issues, plugs into Linear, runs in the background, or “ships like an engineer.”

a lot of them are genuinely impressive. But I don’t think the interesting question is “which one writes code fastest?” that part is getting cheap. the more interesting question is: which ones can earn enough trust that teams actually let them touch real work?

Conversations from this week 👂 1/ Small-team pain in conversations -- AI speeds up frontend shipping, but creates more tiny UI bugs and designer/dev handoff friction. We're being sold, “AI builds it,” but the opp still lies in tools that keep taste, QA and iteration synced.

2/ AI API pricing is becoming product UX, builders care about cost predictability as much as model quality now. DeepSeek price hike + Gemini moving devs to prepaid both point the same way.

3/ Another YC coding agent(bullet) is positioning on speed, not “AI magic.” That’s the devtools market now - faster loops, fewer handoffs, clearer workflow ROI. If your agent pitch can’t explain the workflow win in one sentence, devs will bounce.

4th response saying the same. great time to be a community profesh in US, for sure. does anyone else see it too?

delighted to announce that my monthly ai usage limit on zoom has been reset after using it zero times last month 🎉

anyone using hermes as their daily driver with local models or claude out there? would love to know more about your setups

two conferences, two weeks apart. very different audiences. At GITEX Europe, the conversations were about AI infrastructure, enterprise adoption, digital transformation, government initiatives, and where the industry is heading over the next decade.

View full thread

One audience is thinking about strategy, investment, and transformation. The other is thinking about workflows, APIs, performance, and user experience. Attending both was a good reminder that the tech ecosystem is much bigger than the developer bubble most of us live in.

The most valuable insights usually happen somewhere in the middle. Certainly not around an F1 car, it was cool though.

two conferences, two weeks apart. very different audiences. At GITEX Europe, the conversations were about AI infrastructure, enterprise adoption, digital transformation, government initiatives, and where the industry is heading over the next decade.

You'd walk from a cloud provider booth to a startup founder pitching the future of an entire sector. At WeAreDevs, it was all about building. Editors, frameworks, open-source, developer tools, engineering culture, and the practical realities of shipping software everyday.

Happening tomorrow at Mozilla Berlin! 🚨 🎤 Talk on Firefox Mobile and open source contributions 🗺️ Firefox Roadmap & upcoming features 🤝 Networking 🎟️ Raffle 🗓️ Apr 28 // 18:00 // Schlesisches Tor RSVP now! 👇 www.meetup.com/berlin-mozi...

MDN's old frontend had: ejected Create React App, a Webpack config nobody wanted to touch, CSS so entangled fixing one component broke others, and dangerouslySetInnerHTML as a core pattern. So the team rebuilt it from scratch. Deep dive worth reading 👀 developer.mozilla.org/en-US/blog/...

View full thread

Leo McArdle wrote a fantastic walkthrough of the whole architecture. If you're curious about web components in production, modern build pipelines, or just want to see how a site serving 20M+ visitors rebuilt its frontend, this is worth your time.

View full thread

The result? Dev server starts in 2 seconds. Each page only loads the CSS and JS it actually needs. Web components lazy-load in parallel. And our content authors can now write interactive examples directly in Markdown.

But here's what I love most: we used the web platform to build the site that documents it. Custom elements, Shadow DOM, progressive enhancement. The stuff we write about every day on MDN, we're now building with.

Here's the short version: our old frontend was a React SPA that had accumulated years of tech debt. Webpack configs that nobody wanted to touch. CSS that was too entangled to scope properly. A dev server that took 2 minutes to start. So we rewrote it. From scratch.

Here's what we reached for 👇 → Lit and web components for all interactivity → Custom server components for static templating → Rspack instead of Webpack → Declarative Shadow DOM for instant rendering → Baseline to decide which web APIs we can ship with confidence

Stumbled on git-pulse's snapshot rankings and had to look up mdn/content. ✨ 4th in new committers per month (49) ✨ 5th in new committer percentage (48%) ✨ 5,009 total contributors For a documentation repo, that's wild. And we are actively growing. git-pulse.github.io/snapshots/

David Cramer wrote something that clarified a lot of the noise for me around MCP, skills, and agents. The key insight: these aren't competing ideas. They each solve different problems.

View full thread

A simple way to put it is, "If skills teach you to cook, MCP provides the instruments that let you do it." What I appreciate most is the pushback on the instinct to declare one approach the winner. Every new thing doesn't have to kill the last thing.

David Cramer wrote something that clarified a lot of the noise for me around MCP, skills, and agents. The key insight: these aren't competing ideas. They each solve different problems.

→ Skills are reusable prompt bundles. Lightweight, loaded on demand. They teach the agent how to do something. → MCP exposes tools - the instruments that let you actually do it. → Sub-agents are isolated workers with their own context. Think map/reduce for AI workflows.

As AI does more of the work, what matters most: Asking better questions. Not just what it returned. But whether you asked the right thing. That skill gets rusty if you stop practicing it. - Addy Osmani on critical thinking in the AI age