§ SCORECARD

How AI-native is your team?

Anyone can generate code. Shipping it is still the hard part. Answer 10 quick questions, tell us where to send the breakdown, and see where your team really stands, where the gaps are, and what to work on next.

01 What AI tools does your team use day to day?

None, or the occasional ChatGPT tab Inline autocomplete (Copilot or similar) Chat-based assistants in the editor for larger changes Agentic tools that plan and edit across files

02 How consistent is the AI setup across the team?

Everyone's on their own, if anything A few people experiment individually Most of us use similar tools, loosely Shared, standardized tooling and config across the team

03 Where does AI show up in your workflow?

Rarely, it's a novelty Small snippets and boilerplate Whole functions and routine features Planning, building, and refactoring across the codebase

04 How do you hand work off to AI?

We don't really One-off prompts when stuck We draft with AI, then take over We direct agents and review their output, like a teammate

05 How is AI-generated code reviewed before it ships?

It mostly isn't, we trust it or avoid it The same casual glance as anything else Normal PR review, with extra care on AI changes Deliberate verification: tests, evals, and review habits for AI output

06 How do you catch when AI gets something subtly wrong?

We usually find out in production Manual spot-checks Tests cover the important paths Automated checks and evals gate AI-generated changes

07 How well could an AI agent navigate your codebase?

It'd be lost, little structure or docs It can manage small, isolated files Clear modules and types help it in most places Codebase, docs, and conventions are deliberately built for agents

08 Do you maintain context for AI to use (docs, conventions, prompts)?

No A README and not much else Some shared docs and conventions Living context files, conventions, and prompts the team maintains

09 How does leadership treat AI adoption?

It's discouraged or ignored Tolerated, but with no real support Encouraged, with some budget and time A deliberate priority, with training and clear standards

10 How does the team build AI skills?

Everyone fends for themselves Occasional sharing in Slack Some internal demos or lunch-and-learns Structured training and shared playbooks

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