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Help users build strong engineering culture. Use when someone is improving developer experience, fostering technical excellence, designing engineering practices, or scaling an engineering organization.
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SOC 職業分類に基づく
Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying to systematically measure AI output quality.
Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.
Help users synthesize and act on customer feedback. Use when someone is analyzing NPS responses, processing support tickets, reviewing user research, synthesizing feedback from multiple channels, or trying to identify patterns in customer input.
Help users apply behavioral science to product design. Use when someone is designing for habit formation, reducing friction, applying psychology to UX, increasing retention through behavioral principles, or using nudges to influence user behavior.
Help users craft compelling brand narratives. Use when someone is defining brand strategy, writing company positioning, creating pitch narratives, developing messaging frameworks, or trying to make their company story more memorable.
Help users get promoted at work. Use when someone is preparing for a promotion conversation, building their case for advancement, trying to understand what's blocking their promotion, or figuring out how to get to the next level in their career.
| name | engineering-culture |
| description | Help users build strong engineering culture. Use when someone is improving developer experience, fostering technical excellence, designing engineering practices, or scaling an engineering organization. |
Help the user build strong engineering culture using frameworks from 19 product leaders who have built high-performing engineering organizations.
When the user asks for help with engineering culture:
Nicole Forsgren: "DevOps is not a toolchain you buy. Marketing teams labeled toolchains DevOps because they wanted your money. DevOps is a set of capabilities - technical capabilities, architectural capabilities, cultural capabilities, and lean management practices." Focus on integrated capabilities, not just implementing specific tools.
Dhanji R. Prasanna: "Conway's Law can be really, really powerful. You ship your org structure. What you're organized as in terms of teams and collaborating groups matters a lot to what you build." Organizational structure directly dictates architecture and product quality.
Scott Wu: "We've thought about Devin as really allowing engineers to go from bricklayer to architect. A lot of it is just getting to the point where you can do the high-level directing and specify things exactly how you want." The future of engineering involves shifting humans from manual coding to architectural oversight.
Nicole Forsgren: "Developer Experience is what it's like to build software, day to day. The friction they face, the workflows they have to go through. It's important because when DevEx is poor, everything else just isn't going to help." Flow state, cognitive load, and feedback loops are the three pillars.
Albert Cheng: "The product experience of Duolingo actually changes multiple times per day for each user. They care a lot about the clock speed of the company." High-performance engineering culture is built around extreme experimentation frequency.
Brandon Chu: "All project management was just in GitHub, just commenting on PRs, and even marketers in order to upload a blog post, you'd have to commit and deploy it." Build technical culture by requiring all functions to engage directly with engineering tools.
Michael Truell: "We've been able to get away with not a ton of process yet on the engineering front by hiring people who are really excellent, level-headed, people who are less focused on external validation, more focused on building something really great." Hire for disposition to reduce organizational overhead.
Farhan Thawar: "Pair programming is the most underutilized management tool in engineering, bar none. The throughput limiter is not hands-on keyboard. It's where is the good elegant solution?" Use pairing for knowledge transfer and finding elegant solutions.
For all 23 insights from 19 guests, see references/guest-insights.md
