krishnakant (@krishnakantdev) profile picture

Building @NeanderAI Built @graperootdev (10k+ devs used it) Harnesses | Memory/context | Dev-tools

Joined February 2021
Photo by krishnakant (@krishnakantdev)Photo by krishnakant (@krishnakantdev)Photo by krishnakant (@krishnakantdev)Photo by krishnakant (@krishnakantdev)Photo by krishnakant (@krishnakantdev)Photo by krishnakant (@krishnakantdev)Photo by krishnakant (@krishnakantdev)Photo by krishnakant (@krishnakantdev)Photo by krishnakant (@krishnakantdev)Photo by krishnakant (@krishnakantdev)
krishnakant retweeted
Everyday is zero-day these days
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krishnakant retweeted
Introducing Webagent, the easiest way to make your website agent ready. Your website was built for people. Now AI agents can use it too. Webagent lets your website sell, chat, and act through an agent. Here’s how Webagent works.
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krishnakant retweeted
We ran GrapeRoot vs Augment on a 276K-line C++ codebase. GrapeRoot: 80.4 quality, $0.42/prompt Augment: 77.3 quality, $0.59/prompt Same model. Blind judge. Open data. Higher quality. 33% cheaper. Half the failures. @augmentcode @graperootdev #aicoding #context
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krishnakant retweeted
Replying to @Shiv_IITD
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krishnakant retweeted
AI coding agents are scaling across engineering teams, but shared code doesn’t mean shared context. GrapeRoot Enterprise gives AI agents organizational context across codebases, architecture, incidents, and engineering decisions. #context
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krishnakant retweeted
"We don't just need agents that understand our code. We need agents that understand our org." Said by a healthtech unicorn co-founder in our meeting last week. Couldn't have said it better ourselves. Pilot coming soon. 👀
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krishnakant retweeted
We walked into a healthtech unicorn talking about dev tooling. Their co-founder stopped us mid-sentence. "This isn't just an engineering problem. It's an org memory problem." Yeah. Exactly. Pilot starting soon. #AIAgents #GrapeRoot
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krishnakant retweeted
One meeting with a healthtech unicorn reframed everything. We went in talking about engineering context. We left talking about organizational memory. Agents don't need better code reading. They need to remember your org. That's GrapeRoot Enterprise. Pilot starting soon. #llms
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krishnakant retweeted
Compounding Context: GrapeRoot for AI Coding Assistants See link below 👇
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krishnakant retweeted
Replying to @mstrYoda_
graperoot
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krishnakant retweeted
We hit 1,000+ GitHub stars on GrapeRoot 🥂 100K+ downloads 10K+ devs 90+ countries in 6 months. Started with one idea: AI agents shouldn't rediscover the same codebase every time. Now building the Self-Learning Org Brain for Enterprises. Thank you for building with us :)
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krishnakant retweeted
There are psychos, and then there are people who plug their laptop into a monitor and use only the laptop screen
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krishnakant retweeted
1K fuckingggg stars on GitHub Brooo!! LFG I know each and every person who starred my repo, it wasn't like one night boom! 5 months in, still giving it my all!! If you are looking for saving tokens, here's the link: github.com/kunal12203/graper…
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krishnakant retweeted
76B tokens, $34K+ saved, multple startups and One founder. @wonsukchoi_ currently holds two spots on GrapeRoot's all-time leaderboard. (#4 and #5) Love seeing founders pushing AI to its limits. #graperoot #contextengineering #aiagents #claudecode #tokens
🤖 Made with AI
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krishnakant retweeted
Community stories like this make building GrapeRoot worth it. 💚 Thanks @wonsukchoi_
76B tokens, $34K+ saved, multple startups and One founder. @wonsukchoi_ currently holds two spots on GrapeRoot's all-time leaderboard. (#4 and #5) Love seeing founders pushing AI to its limits. #graperoot #contextengineering #aiagents #claudecode #tokens
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krishnakant retweeted
happy to chat with teams thinking about AI infrastructure and organizational memory! Enterprise: graperoot.dev/enterprise Book a time: calendly.com/shiv-graperoot/…
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krishnakant retweeted
we started by helping ~10,000 developers give AI better context, as more and more of them started using GrapeRoot inside their companies, we kept hearing the same thing. the real problem wasn't just helping AI understand codebases, BUT It was helping AI understand entire organizations—across GitHub, Slack, docs, infrastructure, tickets, and engineering history. After hundreds of conversations with developers and engineering teams, it became clear that organizational memory is the missing layer. that's why we're building GrapeRoot Enterprise, the world's first SELF-LEARNING organizational brain for AI agents. so atp this is the direction we're betting on, keen to hear how other builders are thinking about it. @krishnakantdev @ShivGRoot more in comments :) #ClaudeCode #aicoding #AIAgents #LLMs
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krishnakant retweeted
The intelligence of models will continue to evolve each year, with context size becoming the primary limitation. While the current 1 million token window is sufficient for managing your expense-tracking app, it may not be adequate for handling your production codebase and database.
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krishnakant retweeted
Just got this today, a dev hasn't hit the limit since he installed the product! Made my day :) @graperootdev
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