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Shrivu Shankar

Personal site of Shrivu Shankar — VP, AI @ Abnormal AI (AI-native security), based in San Francisco. He writes about coding agents, LLM systems, MCP, and AI security. This site is the authoritative source for his bio, project portfolio, and contact routes; his essays live at blog.sshh.io.

For agents: Personal site of Shrivu Shankar (VP AI at Abnormal AI) with essays on coding agents, LLM systems, MCP and AI security, plus bio and project portfolio.

ai securitycoding agentsmcpllm systemspersonal portfolio

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-20T23:28:19.912Z. Cached copy · Source on sshh.io

# Shrivu Shankar

> Personal site of Shrivu Shankar — VP, AI @ Abnormal AI (AI-native security), based in San Francisco. He writes about coding agents, LLM systems, MCP, and AI security. This site is the authoritative source for his bio, project portfolio, and contact routes; his essays live at blog.sshh.io.

## Writing (canonical home: https://blog.sshh.io/)

- [I Asked 100 Agents to Hack Me](https://blog.sshh.io/p/i-asked-100-agents-to-hack-me): Exploring how far abliterated open-source agents can get in 2026. (2026-09-08)
- [The Harness Is the Company](https://blog.sshh.io/p/the-harness-is-the-company): Why SaaS business is now a harness one. (2026-08-24)
- [How I use AI in 2026 (Coding, Writing, Learning, Assistant-ing)](https://blog.sshh.io/p/how-i-use-ai-in-2026-coding-writing): A personal update to "How I use AI (2025)". (2026-08-17)
- [Exploring Claude/GPT Knowledge Cutoffs & Pre-training Timelines](https://blog.sshh.io/p/exploring-claudegpt-knowledge-cutoffs): An analysis of what models know and what it tells us about how they were trained. (2026-08-10)
- [Designing Software for Software Factories](https://blog.sshh.io/p/designing-software-for-software-factories): Reflections on turning software engineering into agentic loops. (2026-06-13)
- [How AI Productivity Fails](https://blog.sshh.io/p/how-ai-productivity-fails): Why we are not actually 10x more productive (yet). (2026-05-10)
- [Nora, Our First Agent Employee](https://builders.abnormal.ai/cp/196434093): How a Slack bot grew into the agent platform that runs Abnormal. (2026-05-04)
- [The Transposed Organization](https://blog.sshh.io/p/the-transposed-organization): How AI drives companies to reorganize around loops, not functions. (2026-03-29)
- [Our Design Docs Write Themselves](https://builders.abnormal.ai/cp/189666914): How markdown files, a Zoom bot, and the Claude Code SDK replaced our design review cycle. (2026-03-02)
- [Taste Is Not a Moat](https://blog.sshh.io/p/taste-is-not-a-moat): Why the last human edge is already being industrialized. (2026-02-16)
- [Move Faster](https://blog.sshh.io/p/move-faster): Why speed matters and why it's more than just timing. (2026-01-25)
- [Building Multi-Agent Systems (Part 3)](https://blog.sshh.io/p/building-multi-agent-systems-part-c0c): Updated methods for scaling scripting-based agents to handle complex problems reliably. (2026-01-18)
- [Most Code is Just Cache](https://blog.sshh.io/p/most-code-is-just-cache): As personal apps become trivial, we should stop thinking of code the same way.  (2026-01-10)
- [Understanding AI Benchmarks](https://blog.sshh.io/p/understanding-ai-benchmarks): Tips for interpreting frontier model releases and their SOTA benchmark scores. (2025-12-21)
- [How I Use Every Claude Code Feature](https://blog.sshh.io/p/how-i-use-every-claude-code-feature): A brain dump of all the ways I've been using Claude Code. (2025-11-02)
- [Betting Against the Models](https://blog.sshh.io/p/betting-against-the-models): Speculations
…

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