codewithP
@CodewithP
🙋♂️ SWE @ServiceNow 👨💻 Talks to software & cats 🐈 QE's are not my best friends 👀
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🧵 MCP Sampling: Give your MCP servers a brain (safely) 🔥 Sampling revolutionizes how you think about MCP servers. It allows server to request a client to run an LLM completion and return the result — enabling agentic behavior while keeping the client in control. Here’s a…
Ever curse yourself for leaving a book halfway only to forget everything & needing to start again 🥲 This one is Generative Deep Learning by the way (i know you can see it in the image), and it is just amazing how easily @davidADSP explains the complicated jargons in an…
These babies are my superpower to bring ANY idea into reality ✨ 1️⃣ @getpostman 2️⃣ @windsurf 3️⃣ @figma what are yours? #SoftwareDevelopment #DevLife
What’s stopping you from coding here?
🧠 Day 4 of TDD grind 💻 Solved “Maximum Frequency of Element After Operations” @LeetCode, but the highlight wasn’t the algo — it was watching my tests drive the code 🔁 💬 Red → Green → Refactor 🔥 ✅ All constraints passing 💡 Confidence before code ✅ #TDD #LeetCode…
Atlas is definitely vulnerable to Prompt Injection
Mornings hit different ☕️ p.s. this is your reminder to get your feet on the grass for the day
Starting early today 👨💻 Mission → 1️⃣ practice TDD on a leetcode problem 2️⃣ design a new feature in my MCP server 3️⃣ solve a defect in our Notifications feature we shipped in July. Let’s do this 💪
How I see the world & therefore don’t step out
My vacuum cleaner isn't working because AWS is down. 😐
Vibe coders have to 👀
🪔 Start celebrating now 🎇 p.s. @icanvardar please let me borrow the format for this once 👀
✨ Wishing everyone a very Happy Diwali! May your life shine brighter than the diyas, your heart be lighter than the sweets, and your days be filled with endless joy and prosperity. 🪔💫 #HappyDiwali
Hot take: This should happen every major festival to have people connect with outside world 🙃
the new hello world for AI app devs 🙃
Every day I’m doing the same things, cleaning messy data, fixing one bug, testing one model. At first, it feels repetitive. Then you start seeing patterns the surface never shows. The data starts talking back. You begin to predict what’s about to break. You realize discipline…
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