How Datadog built a universal machine tool for Claude Code

At Datadog, 90% of engineers adopted AI coding tools for production work in the last four months, with Claude Code driving two-thirds of that usage. As sessions grew more ambitious, the reusable tools they produced — for verification, debugging, orchestration — sprawled into unmaintainable one-offs. Sesh Nalla, VP of Engineering, shares how Datadog built Temper: a constrained framework that produces secure, reusable tools that compound across sessions and teams instead.

May 6, 202630mWatch on YouTube ↗

EPISODE INFO

Released: May 6, 2026
Duration: 30m
Channel: Claude
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

At Datadog, 90% of engineers adopted AI coding tools for production work in the last four months, with Claude Code driving two-thirds of that usage. As sessions grew more ambitious, the reusable tools they produced — for verification, debugging, orchestration — sprawled into unmaintainable one-offs. Sesh Nalla, VP of Engineering, shares how Datadog built Temper: a constrained framework that produces secure, reusable tools that compound across sessions and teams instead.

EPISODE SUMMARY

In this episode of Claude, How Datadog built a universal machine tool for Claude Code explores datadog’s Temper: machine-tool discipline for agent-built software factories The speaker traces Datadog’s progression from human-built distributed systems to agent-assisted construction, culminating in a need for industrial-grade repeatability rather than one-off agent improvisation.

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