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Priyan Jindal, AI Engineer

Recent posts by Priyan Jindal

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How we use Alyx to build Alyx: How to build an AI agent feedback loop

How Arize uses Alyx to debug Alyx: searching dense traces, aggregating failures, triaging dogfooding issues, and closing the AI engineering feedback loop.

9 minutes read
Agents
Arize-branded slide with a dark purple gradient background and the title “Testing agents with traces, evals, and CI/CD.” On the right, a diagram illustrates navigating information-dense traces, showing a single trace with many spans and large data blocks (including an LLM iteration span and a data retrieval span). Arrows point to tools for querying and analyzing trace data, representing how engineers test and debug AI agents using traces and evaluation workflows.

AI agent evaluation: How to test, debug, and improve agents in production

Lessons from building and shipping Alyx, our AI agent

8 minutes read
Harness engineering
How to manage LLM context windows for AI Agents thumbnail

Managing Memory in AI Agents: Beyond the Context Window

This is part two of our deep dive series on how we built Alyx 2.0, our AI engineering agent. Watch us discuss it above, or keep reading for the full…

9 minutes read
Agents Uncategorized