Observed Signal · Sep 2, 2026 · Market Signal · Source: honeycomb.io Discovered · Impact: 3/5
AI Norms & Values, Part 2 of 3: AI for Honeycomb Engineering
Charity Majors shares a note from Emily Nakashima, SVP of Engineering, on why Honeycomb's engineering org is going all in on AI, the north star it's aiming for, and an honest FAQ about what that means day to day.
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Charity Majors: AI Is Changing Software Development
A Pragmatic Engineer podcast episode featuring Charity Majors (CTO and cofounder of Honeycomb) discusses how her view of AI evolved from skepticism to seeing it as foundational for software engineering. Topics include AI-driven code generation, the need for stronger verification and observability, the changing economics of writing code, the diminishing role of traditional code review, and career advice for engineers to adopt AI skills. The episode also touches on non-deterministic systems, AI fatigue, and updates in the second edition of Observability Engineering.
Building AI-native Engineering Teams — Anthropic's Fiona Fung
Fiona Fung, Head of Engineering for Claude Code and Cowork at Anthropic, describes how AI is reshaping engineering organization, workflows and productivity. Drawing on 25+ years of engineering experience including 11 years at Microsoft (Visual Studio, TypeScript) and product leadership at Meta (including founding Facebook Marketplace and work on AR glasses and Instagram infrastructure), Fung discusses running teams that now ship substantially more code, which roles AI will transform, specific ways her teams use Claude and Cowork, and managerial changes driven by Claude “routines.” The piece highlights operational gains (Anthropic engineers reportedly ship ~8x more code per quarter versus 2021–2025) and surfaces unresolved challenges such as context-switching and the broader unsolved problems in AI.
AI Adoption Shifts from Hype to Strategy in Product Teams
Anna Lefour's analysis reveals a shift in AI adoption within product teams from piecemeal experimentation to structured, strategic implementation. Based on her thesis research and UXDX EMEA conference insights, companies are moving past the 'Peak of Inflated Expectations' toward the 'Trough of Disillusionment,' focusing on ROI, security, and workflow integration. Case studies include N26's 'Sheldon' Claude skill for design handoffs, Fin's complete AI pivot generating $400M revenue, and Amplitude's AI Week resulting in 97.5% employee Claude usage. Figma's 2026 report shows 'Directive Companies' (27%) with top-down AI adoption see doubled productivity and nearly tripled collaboration impact. Role boundaries blurring, with 65% of designers taking on product/engineering tasks. Collaboration outcomes are divided: 20% report decreased collaboration (up from 5%), while those seeing positive impact grew 6x in two years. The narrative shifts from awareness to construction of AI governance.
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