Engineers often strive for perfection, but adding features or quality beyond what the requirements demand is a business failure. It consumes resources without adding justifiable value, harming the project's ROI. True engineering excellence lies in delivering precisely what is needed, on time and on budget.

To maintain a culture of 'doers', Applovin eliminated the product management function entirely. Engineers are expected to act as their own product managers, understanding the core business KPIs and ensuring their work directly drives revenue. This blurs traditional roles and accelerates value creation.

Stripe maintains an uncompromisingly high bar for quality, even if it means making painful last-minute decisions. They would rather have a hard conversation and pull a project—or even retract an already-live billboard—than ship something the team isn't proud of. This culture prioritizes long-term pride over short-term deadlines.

Measuring engineering success with metrics like velocity and deployment frequency (DORA) incentivizes shipping code quickly, not creating customer value. This focus on output can actively discourage the deep product thinking required for true innovation.

The conventional software feedback loop is 'can I sell it?' Palantir's forward deployed engineers use a stronger loop: 'did it deliver the outcome?' This requires embedding obsessive, technical problem-solvers on the factory floor or in the foxhole to continuously solve backward and generalize learnings into the product.

Previously, 'done' meant deploying to production. AI collapses the build-test-learn cycle so dramatically that the new definition of 'done' is when a feature is fully adopted and delivering value. The feedback loop can be instantaneous, making anything less an incomplete job.

Shift the definition of "done" from "code checked in" to "logged in as the user and verified the feature works as intended." This simple directive forces engineers to engage with the product from a user's perspective, fostering ownership and higher quality work.

To prevent engineers from going down a rabbit hole of endless improvements, teams must pre-define success criteria. When there's a clear, shared definition of the goal, it becomes easy to recognize when the objective is met and it's time to move on.

Product teams focus on technical metrics like scalability, but customer-facing teams see success differently: it's when a client says they "couldn't run their business" without the product. The goal is to merge these two definitions by translating technical achievements into tangible customer outcomes.