She/her 👩🏻‍💼 | AWS re:Invent All Builders Welcome Grant 2025 | 5+ Years #BuildingInTech | #TechnicalWriter

Bengaluru
Morning vibes on point! ✨
Debug, optimize, and understand code in real-time with AI assistance in Chrome DevTools! ⚡ TechScoop's @lassiecoder reports this game-changer offers AI-assisted debugging and smarter code optimization. Dive in now → goo.gle/4i41BQI
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Cursor building its own GitHub is pretty interesting. 👀 It’s not just about creating another place to host code. It’s about rethinking how we work with code when AI agents are doing more and more of the actual development. The way we review, collaborate, and ship software is clearly starting to change. This is a good read if you’re curious about👇 daily.dev/posts/cursor-built…
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But the commit messages do
Your GitHub activity doesn't prove you're a good engineer.
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Spent a weekend tearing apart onboarding flows for AI photo apps. The pattern nobody talks about: most of them ask you to pay before you've seen a single result of your own face. Meanwhile the ones winning right now let you generate first, watermark it, then charge to unlock. #AI #mobileapps
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A blur of good times 🖤🤍
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Priyanka Sharma retweeted
The internet makes it sound like AI will replace every developer tomorrow. The reality feels much more nuanced. AI is great at speeding things up, but it still needs people to review, decide, and build. The bigger risk might be refusing to adapt.
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Here’s what my weekend is looking like
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From clrscr(); getch(); to “generate the entire app” what a time to be alive 👾
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Google quietly has an AI video editor, and honestly, I think more people should know about it 👀 I wrote about Google Vids, what it can do, how to use it, what’s free, and how it compares with Canva and CapCut. 🔗 medium.com/design-bootcamp/g… #googlevids #AIvideo #AIvideoeditor
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Sometimes the best debugging happens away from the screen, somewhere between a quiet trail, fresh air, and your own thoughts.
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Priyanka Sharma retweeted
Announcing Imagine Image 2.0, our next generation image model with precision editing, crisp text rendering, improved factuality, and real world usefulness. Image 2.0 helps you make images for real work. x.ai/news/grok-imagine-image…
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Priyanka Sharma retweeted
Just DM me and we will ship it 🙂
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Priyanka Sharma retweeted
Motivation comes and goes in waves. You can't force it, but you can embrace it when it hits you. Pre-AI, when sufficiently motivated, I could grind through a month's worth of coding in a week. Now, I think it's more like a years worth in a week.
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“AI just predicts the next word” is technically true in the same way that “a compiler just turns text into machine code” is technically true.
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Priyanka Sharma retweeted
Every time someone says “AI just predicts the next word,” I think about how underwhelming that sounds compared to what’s actually happening under the hood.
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Seeing more and more developers talk about Claude’s recent decline in coding quality. Long-time users are pointing out issues like weaker instruction following, lost context, inconsistent outputs, and more back-and-forth to get the same results.
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Priyanka Sharma retweeted
we just launched the ultimate product eval: a practitioner with 14-year in the craft grading our agent's output against hers, every week. score: 33.7/100. grade: F. I'm expecting zero new customers for the next 4 weeks while we fix this: medialyst.ai/carly-score
“Sooooo…this is kinda garbage,” I told @medialyst founder @elvissun and graded his AI-generated media list with an F (27/100). Then I signed on as his company’s Founding Strategic Advisor. I've been hand-building media lists for 14 years. They each take days to research, vet, and refine. Now Medialyst can generate one in seconds. Even though the output has a failing Carly Score™ right now, we’re moving in the right direction. In July we were at 27.9/100. Elvis made changes and this week’s score is already up 5.8 points. I’ll be grading a fresh list output every Thursday and publish the number whether it's flattering or not. HOW WE CALCULATE THE CARLY SCORE™ We test: - Crossover between journalists I found and what the tool finds x .40 - Accuracy of the emails it returns x .30 - Whether I'd keep or cut the names on the list x .30 All weights add up to 1, no hidden multiplier. THE BASELINE July 20 run of a list for a job site’s Stress-Free Six-Figure Careers brief: - The tool found 7 of the 43 journalists on my hand-built list - But it only got 4 of their emails right - Of the 50 total names it returned, I'd keep 7 Score: 27.9/100 = GRADE F THE FIX - The tool now hunts for more of a journalist's published work before scoring or admits "not enough evidence" rather than inventing a score - Author index pages no longer count as articles someone wrote - Emails and LinkedIn profiles that match a completely different name are no longer treated as confirmed matches THE RESULT Same brief rerun on August 6: - Same crossover journalists score: 7/43 - Same correct emails score: 4/43 - Better kept journalists score: 7/21 Score: 33.7/100. GRADE: Still an F… but 5.8 points better because the tool spit out less trash. VALIDATION I sat with Elvis and walked through the most recent list line by line. For the first time the tool's scores matched my gut. It ranked reporters @Andy Medici at 95 (he actually covered the story), @Bryan Robinson at 95 (planning on covering in August), @Jennifer Mattson at 78 (who previously covered a similar report for us), and @Mary Cunningham at 55 (which is exactly where I’d put her for this story). MOVING FORWARD What's still broken: - The tool surfaced CPA Practice Advisor for a consumer story - Finding better emails for contacts - A site I couldn't even confirm was a real publication - Coursera, which is a program-review site These misses all get addressed before the next test. From now on, we’ll be posting a new Carly Score™ every Thursday. Link to the live scorecard if you wanna check it out below.
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The pace of AI releases is honestly exhausting. Just when you get comfortable with one model, another one drops with a new benchmark, better reasoning, or a bigger context window. Keeping up has become a full-time job.
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Claude’s performance over the last few days has been really disappointing. I’m getting incomplete responses, it misses important context, and the coding quality feels far less reliable than it used to be. I’m spending more time correcting the output than actually building. It used to be my go-to coding assistant. Hoping it gets back to the level it was at.
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