Crowdbotics

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Crowdbotics

Crowdbotics

@crowdbotics

Transforming legacy applications through an AI-powered, requirements-driven approach.

Berkeley, CA Katılım Şubat 2017
48 Takip Edilen606 Takipçiler
Crowdbotics
Crowdbotics@crowdbotics·
Watch this quick video as Anand Kulkarni, Founder and CEO of Crowdbotics, shares why AI disrupts how companies will handle legacy app modernization and maintenance. Meet Anand and the team live at the Gartner AIBS 2025, Booth #416. #GartnerAPPS #AppModernization #CIOLeadership
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Crowdbotics
Crowdbotics@crowdbotics·
@coryhymel recently spoke with @BillDoerrfeld about using #LLMs in requirements gathering. 🤖 While #AI isn't perfect, it speeds up the process by analyzing legacy code and improving coms between business and tech teams to ensure updates solve the right problems. 💪
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Crowdbotics
Crowdbotics@crowdbotics·
🌐 Until next time, Qatar! 🚀 Crowdbotics CEO @anandkulkarni85 , along with @AndrewFilev and Elena Poughia, sparked insightful discussions on AI's role in software development at #WebSummitQatar. Thanks to the team for hosting! What was your event highlight? ⬇️
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Crowdbotics
Crowdbotics@crowdbotics·
🚀 Crowdbotics CEO Anand Kulkarni is speaking at Web Summit Doha on how #AI is revolutionizing the future of code! Alongside Andrew Filev, CEO of Zencoder, Anand will explore AI-powered #SaaS and its impact on automating workflows and accelerating #SoftwareDevelopment.
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Crowdbotics
Crowdbotics@crowdbotics·
@testingmag Scaling software requirements generation with #AI: Cory Hymel’s white paper uncovers how #LLMs hold up against human expertise. What's your take?
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Crowdbotics
Crowdbotics@crowdbotics·
@WeAreDevs Cory Hymel recently published a study that found LLMs perform better than humans at requirements generation (in certain aspects)
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WeAreDevelopers
WeAreDevelopers@WeAreDevs·
Does AI mean that developers skip over learning concepts, because the LLM will handle it for us? Join us on Wednesday for The Weekly Developer Show where we talk all things tech, over on YouTube at youtube.com/channel/UCSD0d…
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Crowdbotics
Crowdbotics@crowdbotics·
@ehoneahobed The intersection of natural language inputs and AI-driven requirements generation is reshaping #softwaredevelopment. Cory Hymel's white paper offers a fresh perspective—what are your thoughts?
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Dr. Ehoneah Obed
Dr. Ehoneah Obed@ehoneahobed·
Software Engineering isn't only about writing code. A lot of planning, brainstorming, whiteboarding before we even think about writing a single line of code. Here is my note where I am brainstorming the database structure for a multi-vendor e-commerce platform
Dr. Ehoneah Obed tweet media
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Crowdbotics
Crowdbotics@crowdbotics·
@davefarley77 Cory Hymel’s latest research shows the strengths and weaknesses of LLMs for first-draft requirements.
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Dave Farley
Dave Farley@davefarley77·
10 warning signs that your software project might be headed off track... and some tips to fix them. AVAILABLE NOW (📽️ Link in my bio)
Dave Farley tweet media
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Crowdbotics
Crowdbotics@crowdbotics·
@housecor The debate between AI and human-driven requirements generation continues—Cory Hymel’s white paper sheds new light on the topic.
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Cory House
Cory House@housecor·
Traditional software development: Tests must pass before merge. Coding against an LLM: Tests (called evals) must pass with around 80% confidence before merge. The latter feels bananas. We’re merging code when we’re only 80% confident?
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Crowdbotics
Crowdbotics@crowdbotics·
@mckaywrigley Cory Hymel’s research highlights the accuracy trade-offs between #LLMs and human experts in requirements generation, it’s worth a read!
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Mckay Wrigley
Mckay Wrigley@mckaywrigley·
An incredibly logical next agent for them to do is a coding agent. Combine everything Deep Research does + o3’s exceptional coding abilities and it would make for a pretty killer product. Given the Microsoft partnership maybe a GitHub integration? Bet we see this by summer.
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Mckay Wrigley
Mckay Wrigley@mckaywrigley·
The key takeaway from OpenAI’s Deep Research preview is that they’ve made significant progress on longterm planning + tool calling. This is how you get The Virtual Collaborator. Agents are coming.
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Crowdbotics
Crowdbotics@crowdbotics·
That's a wrap! 🎉 FKO 2025 fuels our vision: AI-driven #SoftwareDevelopment empowering app modernization. Get ready for unprecedented innovation! 💪🌟
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Crowdbotics
Crowdbotics@crowdbotics·
@GergelyOrosz You should check out Cory Hymel's latest white paper breaks down the effectiveness of LLMs vs. human experts in creating first-draft requirements.
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
“My [other PM friend] succeeded because he was way more persistent (spent many days fully focused on this) and also smarter.” A reminder that AI coding tools are *especially* powerful in the hands of mid-level and above devs. When you know what to do+can fix errors v quickly!
Tal Raviv@talraviv

I failed to make a web app on both Replit & Lovable (and I code). I still think every PM should try this at least once. Bottom line: • I didn't need to "code," but at some point I was definitely doing engineering. • Building a complex web application takes babysitting • These tools are amazing for expressing ideas and visualizing data • PMs, try this out! It builds intuition for being on the other side of an agent (and now you don't have to be afraid of failing) My background: I can build web apps (though I became a PM because I was pretty bad at it) What I wanted to build: I wanted to replicate Graphtreon (unofficial patreon scraper and public revenue dashboard), but for Maven (where my course is hosted). How it went for me: 🟢 ChatGPT/Claude helped me iterate to a great prompt (literally, "help me write a prompt for an AI LLM prototyping tool to build a web app that...") 🟢 I pasted that into both Lovable and Replit (why not open two tabs) 🟢 Iterating on the UI was awesome. If I kept feedback high-level, it would think of all the little flow details on its own (confirmation dialogs, errors) 🟡 It had backend powers, but needed *a lot* of obvious help on setting up simple backend web scraping (not nobel prize type work) 🟡 I tried to "empower" it with higher-level goals, but kept getting dragged back down to troubleshooting 🔴 I found myself babysitting every error, and building features solely for the purpose of observability and debugging 🔴 I was having fun, but for the wrong reasons (breaking through frustrating walls rather than for outcomes, insights, or innovation) That said, my friend succeeded. A former PM colleague (now founder) successfully built a web app using Lovable, and reported the same experience. He succeeded because he was way more persistent (spent many days fully focused on this) and also smarter. These tools are in a weird, adolescent neither-here-nor-there stage. That said, I'm still super impressed, and can't believe this even exists. Most importantly for product managers: I recommend trying this hands-on ✓ Timebox yourself to an hour ✓ What's a piece of software you didn't get approval to buy? ✓ Allow yourself to get in the weeds, if only as an exercise ✓ Build intuition for what it's like to be on the other side of an agent doing something really complex. Now you don't have to feel bad if you fail :)

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Crowdbotics
Crowdbotics@crowdbotics·
@rowancheung As LLMs get better at interpreting natural language inputs, will human experts become less critical in the early SDLC stages? @coryhymel latest paper offers interesting insights.
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Rowan Cheung
Rowan Cheung@rowancheung·
I got early access to ChatGPT Operator. It's OpenAI's new AI agent that autonomously takes action across the web on your behalf. The 9 most impressive use cases I’ve tried (videos sped up): 1. Ordering dinner ingredients based on a picture and a recipe
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Crowdbotics
Crowdbotics@crowdbotics·
🤯 Want to understand the REAL impact of #DeepSeek and #Stargate? 🤔 Join Cory Hymel as he explores the latest #AI developments in Human Cloud’s emergency podcast. Cory and experts Matt Coatney, Noah Gale, and others discuss what truly matters.
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Crowdbotics
Crowdbotics@crowdbotics·
🚀 New white paper by Cory Hymel, our VP of Research and Innovation! 🌟 How do large language models (LLMs) compare to human experts in creating software requirements? And could LLMs replace developers? Cory’s study answers these questions and more.
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Crowdbotics
Crowdbotics@crowdbotics·
🗞️ News Alert! 🗞️ Crowdbotics is featured in DBTA’s [TAG] Winter issue of Big Data Quarterly! 🎉 We’re pumped to be in great company with @MongoDB, @salesforce , and @Oracle ! 🚀 Our AI-driven approach helps modernize legacy apps, minimizing risk & ensuring faster delivery.
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Crowdbotics
Crowdbotics@crowdbotics·
🤯 Did you know 79% of app modernization projects fail due to bad code? At Crowdbotics, we use AI-assisted analysis to reduce risk, cut time-to-market, and modernize confidently—one line of code at a time. Ready to transform your legacy apps? ➡️ crowdbotics.com/schedule-a-dem…
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