◆ DAILY BRIEFING
Monday, February 23, 2026
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Engineer Harness engineering — the discipline of building constraints, linters, documentation, and sandboxed environments around coding agents — has independently emerged at OpenAI, Stripe, and Anthropic as the critical unlock for AI-assisted development.
Harness engineering — AGENTS.md files, custom linters with remediation instructions, MCP-exposed tooling, and plan-then-execute workflows — is the discipline that separates teams shipping 1,000 agent-…
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Security AI agents are under active attack and simultaneously shipping unreviewed code at production scale — Cisco confirms adversaries are already hijacking, impersonating, and manipulating autonomous agents, while a small Russian-speaking group used commercial AI tools to breach 600+ Fortinet firewalls across 55 countries in weeks.
Autonomous AI agents are simultaneously your newest attack surface and your biggest AppSec blind spot: adversaries are actively probing agent infrastructure while your engineering teams ship 1,000+ un…
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Data Science Agent reliability degrades to a coin flip past 1 hour of autonomous operation (Opus 4.6: 80% at 1hr, 50% at 14.5hrs), and the emerging discipline to fix this — 'harness engineering' — is converging across OpenAI, Stripe, and Anthropic on identical patterns: AGENTS.md files, remediation linters, JSON-over-Markdown state, and sandboxed execution.
Coding agents hit 80% reliability at 1-hour tasks but degrade to a coin flip at 14.5 hours, the MCP protocol connecting them to your tools is already being probed by attackers, and OpenAI's own infere…
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Product A codified 'harness engineering' playbook has emerged simultaneously from OpenAI, Stripe, and Anthropic — with hard data showing 3-person teams outputting at 15-person rates (3.5 PRs/engineer/day, 1,000+ merged PRs/week at Stripe).
Three-person teams are now shipping at 15-person rates using coding agents — but only on greenfield projects, and only within 1-hour task windows before reliability craters to a coin flip. Meanwhile,…
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Leader Three engineers at OpenAI built a million-line product in five months with zero hand-written code, while the company's own financials reveal AI gross margins collapsing to 33% with $111B in projected cash burn through 2030.
The AI productivity revolution is real — 3 engineers producing million-line products, 6,600 commits per month from a single developer — but the economics underneath are broken, with OpenAI's own margi…
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Investor OpenAI's 33% gross margin and $111B projected cash burn through 2030 just collided with a 57% capex reduction ($1.4T → $600B) — the AI value chain is repricing in real time, and Wednesday's simultaneous earnings from Nvidia ($65.7B revenue), Salesforce (Agentforce at $500M+ ARR), and Snowflake will determine whether infrastructure or application layers capture the next wave of returns.
The AI value chain is repricing this week: OpenAI's 33% gross margin and $111B cash burn projection prove foundation model economics are structurally worse than modeled, PE returns have inverted below…
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