rvivek
@rvivek • 13,898 subscribers
Co-founder & CEO @hackerrank
Videos
Everyone is still asking if India can build its own AI. Sarvam stopped asking and shipped it. Raised $234M building India-first LLMs. 10 million API calls a day. Half a million hours of audio transcribed a month. In languages no global model bothered to learn. Built from India. Built for the world. Here's their story:
rvivek133,852 次观看 • 9 天前
An engineer at Anthropic wrote a spec, pointed Claude at an Asana board, and went home. Claude broke the spec into tickets, spawned agents for each one, and they started building independently. When the agent is confused it runs git-blame and messages the right engineers in Slack. By Monday the agents finished the plugin feature. That's one example of how the best engineers are shipping software right now. Developers will soon orchestrate 50 AI agents in parallel and the difference between a good engineer & a great one would come down to specs. You can't write a spec that holds up at that scale without genuinely understanding what you're building at a deeper level. The next-gen developer who understands the fundamentals, can architect well and orchestrate agent is going to be a 1000x developer!
rvivek1,242,150 次观看 • 4 个月前
The hottest job for the next five years is going to be the agent operator. They don't need to be an engineer. They can walk into marketing, legal, or life sciences research and actually make agents work for that function. Required skills: > MCPs > CLIs > Writing skills (the file kind) > agents.md fluency > Business acumen None of this is in any CS curriculum today. Soon, enterprises will be pressured to redesign their workflows for agents, not for people. And when that happens, agent operators will be in massive demand.
rvivek487,800 次观看 • 2 个月前
Prithvi (Prithvi Rajasekaran) from Anthropic Labs: “I don’t have a CS undergrad, so I’m flying blind. But there are CS fundamentals that ended up being really valuable for me: understanding Big-O notation, time and space complexity. I didn’t have to grind six months of LeetCode, but having that intuition was helpful."
rvivek67,321 次观看 • 18 天前
Claude Code creator Boris Cherny on traits of side projects that take off > Start with automation — it's free leverage. Engineers build it faster than anyone, yet most underuse this superpower. Ask yourself: 'How can I do less of my work? >Track recurring problems & Automate until there's nothing left. Boris once tracked every code review comment in a spreadsheet and turned repeated issues into lint rules which eventually became a flock of lint rules. >Your problems are a signal. Build for yourself first — a YC principle. He'd validate an idea, ping a few engineers, let it grow. One of his side projects hit 50-100 engineers at Meta. >Stay in the code. Intuition fades fast when you're not coding. The best ideas come from being anchored to reality. >Side quests = leverage for everyone. His projects improved prod and dev infra. What slowed him down slowed his whole team. Fixing them created leverage beyond himself.
rvivek206,694 次观看 • 6 个月前
Cluely is cooked. So is InterviewCoder. UltraCode too. Along with hundreds of "invisible cheating" tools. We built the HackerRank App to block this. Now, I know what you may be thinking as a developer: how do I trust the app? It blocks plagiarism tools, screen sharing, tab switching, external apps, and more, all while still giving developers an insanely great experience. Companies can even enable an AI assistant directly inside the test, so candidates do not have to rely on external references at all. "Cheating" might feel cool. But losing a job to someone who only got that because they played unfairly is not. Link below to learn more.
rvivek144,364 次观看 • 7 个月前
![This is the rebirth of the AI Interviewer. Meet Chakra by HackerRank. The problem with AI Interviewers today: they're glitchy, candidates hate them, and they follow a checklist instead of actually interviewing. Chakra fixes this. [Thread 🧵]](https://image.24vids.com/tw-2017275544845644035/amplify_video_thumb/2017275387890569216/img/4V4bxFsnVqm7pARe.jpg)
A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.
rvivek11,853 次观看 • 1 个月前
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