Security engineers at Datadog are paid the same as software engineers. AI is redistributing engineering talent — as demand for tier-1 coders drops, security teams are gaining access to technical talent they never could afford before.
Where this was said
At 14:00 · chapter starts 12:00
Escobar recounts a roundtable on agentic security he led the previous week where the dominant emotion among participants was helplessness — a waiting game for commercial products to make the problem go away [1] — Emilio Escobar "At a recent roundtable on agentic security, most security leaders expressed a sense of helplessness — waiting for a commercial product to s…" 11:48 . He finds this troubling, not because buying security products is wrong, but because the space is moving too fast for passive observation. De la Garza picks up the thread, tracing the talent gap back to the CISO role's origins: the title barely existed a generation ago, and when security teams grew large enough to need managers, the profession hired managers — not technologists. That history means a lot of CISO programs are structured around procurement rather than building. For companies where software isn't the competitive advantage, that's defensible. For companies like Datadog, it isn't.
Joel de la Garza noted that the CISO role is a relatively recent invention, with Steve Katz widely credited as the first-ever CISO.
The fastest path to Twitter growth isn't volume — it's forming sharp opinions about how the platform works and sharing them immediately. People cluster around those who understand the rules and say so out loud.
Sam had no coding knowledge, so he used ChatGPT voice mode to generate his entire codebase and copy-pasted it into Notepad. A friend later introduced him to Cursor, and he never looked back.
Copy days of Discord chat history, paste it into ChatGPT, and ask it to list recurring pain points. The ones that come up most often are your best product bets.
Sam's top advice: when prompting Cursor, tell it to architect code for 100,000 users from day one. The AI changes its approach, building scalable frameworks instead of brittle one-user code.
With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
PropGPT runs on React Native with TypeScript and Python for ML, Neon for the database, RevenueCat and Superwall for monetization. LLM costs are $20/month, data APIs $100/month, and after $10K in monthly marketing spend, margins sit at roughly 50%.
Automated food production cheaper than grocery shopping. Mining companies that own nothing but real estate. Kalanick believes these are near-certainties, not moonshots, and they dwarf anything digital AI has done to enterprise software.
Meraki couldn't beat Cisco on reputation in 2009. So they stopped trying to pitch and started shipping. Attend a webinar, get a free access point. Once mid-market IT teams experienced cloud-managed networking, no argument was needed — the product sold itself.
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