4,000+ engineers using coding agents
Datadog has over 4,000 engineers actively using coding agents, with virtually every employee across the company using some form of AI.
Where this was said
How Datadog Embraced AI Instead of Blocking It
At 3:48 · chapter starts 1:49
Joel de la Garza opens by asking Escobar to walk through how Datadog is thinking about AI risk and deployment. Escobar's answer is instantly disarming: there was never a serious debate about blocking AI tools — that ship had already sailed. Datadog started small, with just 50 Cursor licenses on a 'see who bites' basis, and adoption exploded organically [1] — Emilio Escobar "Blocking AI tools has never stopped employees from using them — it just drives adoption underground. Datadog handed out ChatGPT licenses to…" 02:43 . Today, over 4,000 engineers use coding agents and the company-wide AI adoption rate sits around 98%. On the non-engineering side, the approach was equally pragmatic: hand out ChatGPT licenses to everyone, configure zero data retention, and let people use it for whatever they want — including finding a recipe for pot roast. The contrast with the prevailing industry posture is stark: at RSA two years ago, Escobar was surrounded by CIOs asking him how he wasn't blocking these tools.
Started with 50 Cursor licenses
Datadog's AI coding journey began with just 50 Cursor licenses, deployed on a trial basis to see organic adoption before scaling to thousands of users.
Why Datadog Gave Everyone ChatGPT Instead of Blocking It
Blocking AI tools has never stopped employees from using them — it just drives adoption underground. Datadog handed out ChatGPT licenses to everyone two years ago, with zero data retention, while most CIOs were still asking how to block it.
ChatGPT licenses offered to all employees without restriction
Rather than blocking ChatGPT, Datadog gave all employees access with zero data retention policies — a move Emilio said was still contrarian among CIOs two years ago.
Similar snapshots
Algorithm understanding drove Twitter growth
Quickly forming opinions on how the Twitter algorithm and platform worked allowed the speaker to grow rapidly on the platform.
MVP built in one week
Sam's initial MVP was coded in approximately one week using ChatGPT voice mode and copy-pasting code, with no prior technical experience.
Discord vs email for young users
Sam argues Discord is 10x better than email for building relationships with younger users who rarely check their inbox.
Monthly infra costs ~$780–$980
Sam's monthly operating costs include Cursor ($200), AI image generation ($100), AI video generation ($200), hosting ($100), email marketing ($80), and AI compute ($300–$500).
ChatGPT-powered pain point research
Sam recommends copying days of Discord chat history into ChatGPT and prompting it to list recurring pain points as a fast, free market research technique.
50 free tools built total
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
New tool built in under 5 minutes
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
KD filter < 10 for rankable keywords
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Minimum 1,000 monthly search volume
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
