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honeycomb

Fin's CTO on Building Great Engineering Organizations in the AI Era

Aug 31, 2026 By Rox Williams In Honeycomb
A few months ago, Darragh Curran, CTO at Fin (formerly Intercom) set a public goal to double engineering productivity and nearly tripled it instead. They did so by pulling a few levers: AI writing code at scale, building an AI-driven PR review system, leveraging observability as a trust mechanism, and with leadership becoming more hands-on through the transition.
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Your next internal developer platform is a library of agent skills

Aug 31, 2026 By Rootly In Rootly
What happens when AI agents become direct users of your infrastructure? Michael Kutsch, Staff SRE and Team Lead for Cloud Foundations at PostHog, argues that the next internal developer platform may be a library of agent skills. Instead of forcing every task through a portal, his team is giving agents structured context, reusable workflows, and deterministic scripts they can call when reliability and governance matter.
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meshiq

Why Most Enterprise AI Agent Programs Overspend, and What Actually Fixes It

Aug 31, 2026 By Buddhiraj Chapalgaonkar In meshIQ
Enterprise AI agent programs overspend because leaders optimize token costs, which represent just 20-25% of variable run costs. Human oversight accounts for 70-75%. The real fix is reducing exception rates and embedding governance directly into agent execution from the start.
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cloudzero

AI gross margin: how AI spend hits SaaS profitability

Aug 31, 2026 By Lyne Carolyne In CloudZero
AI gross margin is what remains of SaaS profitability after inference, model routing, and AI infrastructure land in cost of revenue. The numbers have moved. AI products averaged 45% gross margin in 2025 and are projected near 53% in 2026, against the 70% to 85% that SaaS built its valuations on. The compression is real, measurable, and manageable for companies that can see their cost to serve.
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cloudzero

Codex vs. Claude Code in 2026: cost, capability, and which one your team should pick

Aug 28, 2026 By Lyne Carolyne In CloudZero
Codex is OpenAI's terminal-based autonomous coding agent, bundled into ChatGPT plans and billed through token-based credits. Claude Code is Anthropic's terminal-based coding agent, sold through Claude subscriptions or the API. Codex is cheaper to enter; Claude Code is stronger on complex work. Both run $100 to $250 per developer monthly at active use.
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AI coding tools cost compared: Copilot, Cursor, Claude Code & Codex

Aug 28, 2026 By Lyne Carolyne In CloudZero
AI coding tools cost between $0, on GitHub Copilot's free tier, and $200 per developer per month at list price. GitHub Copilot is cheapest to start at $10. Codex is cheapest per task for ChatGPT subscribers. Claude Code has the most predictable ceiling. Cursor is the most variable. Once agents run all day, vendor-reported usage lands at $100 to $250 per developer monthly, no matter which one you pick.
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