The latest Developer Tools posts we have indexed from venture capital blogs and newsletters, plus the highest-scoring pieces of the past year and the people who write about it most.
Software AGI has arrived as of November 2025, but only in coding; the real frontier is verification, not generation. Meanwhile, capability gaps in medicine and security reveal the pattern—models can do the work, but humans haven't scaled to review it.
OpenAI Dev Day revealed a strategic pivot: rather than competing on model superiority alone, the company is building a control plane for AI—integrating persistent agents (Dots), team workspaces, a decisions API, and open-model orchestration—to own the workflow layer even as models commoditize.
Manual evaluation of AI output—reading and analyzing results yourself—is the critical first step before automating evals. Ben Yoskovitz walks through how he's discovering quality criteria for Candor (a synthetic research platform) by hand, then codifying them into rules and metrics.
GitLab's Q2 results show strong billings and consumption growth despite 400bps of gross margin compression from AI inference costs, with a new Flex pricing model driving $20M in six weeks but creating revenue timing headwinds that the guidance doesn't yet reflect.
Stripe's AI CRO analyzes what fastest-growing AI companies reveal about pricing, internationalization, and GTM: 175% YoY growth, 48% foreign revenue, usage-based pricing adoption surging, and agents now the primary product discovery channel.
Ben Yoskovitz launches Candor, a synthetic user research platform, and reflects on the gap between building product with AI and actually launching it—the critical work of onboarding, positioning, segmentation, and distribution that code alone cannot solve.
As AI becomes the primary code writer, software abstractions optimized for human comprehension—from React Native to cross-platform frameworks—become economically obsolete; the next decade will rebuild the entire stack for agent-native architecture.
As AI accelerates code generation, traditional organizational functions like QA, product, and customer success struggle to maintain visibility into a codebase that evolves faster than human processes can track. The solution is "codebase intelligence"—a visibility layer that gives every function real-time awareness of code changes, their blast radius, and downstream impacts.
Lenny's Newsletter (24) · Saastr (8) · Tomasz Tunguz (7) · A16Z (3) · Clouded Judgement (2) · Menlo VC (2) · Ben Yoskovitz (2) · Insight Partners (2) · Kenneth Auchenberg (2) · Saanya Ojha (2)
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