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Backend Engineers: Focus on Solving Problems, Not Writing More Code

After a decade in backend engineering, Rudratosh Shastri says good work is less about clever code and more about solving problems, earning trust, and helping a team succeed.
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After a decade in backend engineering, Rudratosh Shastri says the things he once prized as a junior—high code output, clever abstractions, and winning technical arguments—were poor measures of good work. His essay is a personal account, not a universal career formula, but its central shift is useful: focus on solving the problem, earning trust, and making the team more effective.

Measure the problem solved, not the code produced

Shastri recalls judging his work by lines shipped and taking pride in clever abstractions. He now puts the emphasis on identifying what is actually broken or needed, then avoiding work that does not help address it.

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He sums up that change this way: “Nobody has ever thanked me for a clever abstraction. They’ve thanked me for making the thing that kept breaking stop breaking.” The point is not that abstractions are always bad. It is that cleverness is not a result by itself; a solution matters when it improves the system for the people who depend on it.

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Trust can matter more than winning an argument

The essay contrasts proving oneself right in a technical disagreement with becoming someone colleagues trust to handle difficult work and mistakes. Shastri presents this as a lesson from his own career, not as a measured rule about how every workplace assigns responsibility.

In practice, that framing favors clear reasoning, listening, and accountability over treating each disagreement as a contest. Trust is built through how someone works with others as well as through technical judgment.

Hard assignments can become formative experience

Shastri recalls taking on assignments that felt intimidating, including a high-stakes data migration and an external architecture audit. He describes these as important experiences in his own development; they are recollections, not independently verified case studies or a guarantee that every risky assignment is worthwhile.

The useful distinction is between challenging work that offers a chance to learn and consequential work taken on without adequate support. A difficult assignment can stretch skills, but the essay does not establish that accepting every high-risk task is the right career move.

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Treat code as work product, not personal identity

Shastri describes becoming more willing to delete or simplify code when the system’s behavior can be preserved. That means an implementation is not valuable simply because its author worked hard on it or feels attached to it.

By the same token, simplification should preserve the behavior users and dependent systems need. The essay’s emphasis is on being willing to revise one’s own work, not on removing code indiscriminately.

Engineering leadership includes people work

In Shastri’s account, valuable engineering work extends beyond writing code. He points to unblocking colleagues, offering kind candor, and absorbing some of the team’s chaos as parts of contributing well.

These examples make collaboration concrete: helping someone move forward, raising a difficult point respectfully, and taking responsibility when work gets messy. They are his professional judgments rather than a formal definition of leadership.

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Stay willing to learn as a beginner

Shastri closes by describing his choice to learn about AI agents and to accept being bad at a subject again. The lesson is less about any particular technology than about staying open to unfamiliar work rather than assuming experience means there is nothing left to learn.

What the essay does—and does not—claim

The DEV Community page for Shastri’s essay displays a Sep 26 publication date, but the year is not shown in the available article text. Its “10 Years In” framing is autobiographical. The page supplies no study, survey, or quantified industry evidence establishing these lessons as universal rules. Read them as one engineer’s reflection on changing priorities: from visible cleverness toward reliability, trust, simpler work, and support for colleagues.

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