Author
Dheeraj Bandaru
Recent posts
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Agent EvaluationAlignment is a human-AI workflow: how Custom Views make agent review possible
Automated evals can score every agent session, but they do not automatically reflect what your team considers a good outcome. That takes human judgment. Dheeraj Bandaru October 9, 2026 7 min read -
Agent EngineeringHow we built long-term memory for Alyx: why we chose a file over a knowledge graph
How we built long-term memory for Alyx: why we chose one 8,000-character file over retrieval and knowledge graphs, and how we tested it. Priyan Jindal Dheeraj Bandaru October 1, 2026 27 min read -
Agent EngineeringAlyx now remembers your work across sessions with long-term memory
Alyx now remembers project goals, conventions, and decisions across sessions in Arize AX, helping you continue work on traces, evals, and experiments. Chris Cooning Dheeraj Bandaru October 1, 2026 3 min read -
Agent ObservabilityArize AX adds native support for OpenTelemetry GenAI semantic conventions
Arize AX now normalizes OpenTelemetry GenAI semantic conventions into first-class AI traces, unlocking evaluations, token and cost visibility, and easier debugging. Chris Cooning Dheeraj Bandaru August 11, 2026 4 min read
Don’t ship vibes.
Arize gives AI teams observability and evals to understand and improve agent performance.
