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Shubham Jindal Dir

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Shubham Jindal Dir

AI Software Engineering

at
Harness

Shubham Jindal is Director of AI at Harness, where he leads the company's AI strategy and the unified AI platform that powers products across the organization. An engineer at heart and a systems thinker by nature, he focuses on turning cutting-edge AI into reliable, governed, and scalable enterprise outcomes, bridging the gap between experimentation and adoption to help teams build AI.

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Shubham Jindal Dir

How We Build

Engineering

How We Secured AI Worker Agents in Harness

How Harness isolates Autonomous Worker Agents with four independent security layers — image hardening, process isolation, secret isolation, and network controls, tested against a real CVSS-9.0 breach chain.

How We Secured AI Worker Agents in Harness

Engineering

Identity and Permissions for AI Worker Agents in Harness

How Harness scopes AI agent access with delegated identity, ephemeral tokens, RBAC, OPA policy, and MCP gateway tool intersection, enforced server-side.

Identity and Permissions for AI Worker Agents in Harness

Engineering

Architecting MCP for AI Agents: Lessons from Our Redesign

The Harness MCP v2 Server covers 125+ resource types across 30 toolsets with 11 tools and 26 prompt templates. It supports Cursor, Claude Code, and any MCP-compatible client.

Architecting MCP for AI Agents: Lessons from Our Redesign

How We Build

Engineering

How We Secured AI Worker Agents in Harness

How Harness isolates Autonomous Worker Agents with four independent security layers — image hardening, process isolation, secret isolation, and network controls, tested against a real CVSS-9.0 breach chain.

How We Secured AI Worker Agents in Harness

Engineering

Identity and Permissions for AI Worker Agents in Harness

How Harness scopes AI agent access with delegated identity, ephemeral tokens, RBAC, OPA policy, and MCP gateway tool intersection, enforced server-side.

Identity and Permissions for AI Worker Agents in Harness

Engineering

AI Demos Are Easy. Enterprise AI Is Not.

Why Context is the New Code for Scaling Production AI

AI Demos Are Easy. Enterprise AI Is Not.

Engineering

Architecting MCP for AI Agents: Lessons from Our Redesign

The Harness MCP v2 Server covers 125+ resource types across 30 toolsets with 11 tools and 26 prompt templates. It supports Cursor, Claude Code, and any MCP-compatible client.

Architecting MCP for AI Agents: Lessons from Our Redesign
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