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Saturday, January 17, 2026

21 Classes from 14 Years at Google – O’Reilly


The next article initially appeared on Addy Osmani’s Substack publication, Elevate, and is being republished right here along with his permission.

After I joined Google ~14 years in the past, I assumed the job was about writing nice code. I used to be partly proper. However the longer I’ve stayed, the extra I’ve realized that the engineers who thrive aren’t essentially one of the best programmers. They’re those who’ve found out navigate the whole lot across the code: the individuals, the politics, the alignment, the paradox.

These classes are what I want I’d recognized earlier. Some would have saved me months of frustration. Others took years to totally perceive. None of them are about particular applied sciences—these change too quick to matter. They’re in regards to the patterns that maintain exhibiting up, undertaking after undertaking, workforce after workforce.

I’m sharing them as a result of I’ve benefited enormously from engineers who did the identical for me. Contemplate this my try to pay it ahead.

1. The perfect engineers are obsessive about fixing person issues.

It’s seductive to fall in love with a expertise and go searching for locations to use it. I’ve finished it. Everybody has. However the engineers who create essentially the most worth work backwards: They develop into obsessive about understanding person issues deeply and let options emerge from that understanding.

Person obsession means spending time in assist tickets, speaking to customers, watching customers wrestle, asking “why” till you hit bedrock. The engineer who really understands the issue typically finds that the elegant answer is less complicated than anybody anticipated.

The engineer who begins with an answer tends to construct complexity looking for a justification.

2. Being proper is reasonable. Attending to proper collectively is the true work.

You possibly can win each technical argument and lose the undertaking. I’ve watched sensible engineers accrue silent resentment by at all times being the neatest individual within the room. The fee exhibits up later as “mysterious execution points” and “unusual resistance.”

The ability isn’t being proper. It’s getting into discussions to align on the issue, creating area for others, and remaining skeptical of your individual certainty.

Robust opinions, weakly held—not since you lack conviction however as a result of selections made underneath uncertainty shouldn’t be welded to identification.

3. Bias in direction of motion. Ship. You possibly can edit a nasty web page, however you’ll be able to’t edit a clean one.

The hunt for perfection is paralyzing. I’ve watched engineers spend weeks debating the perfect structure for one thing they’ve by no means constructed. The proper answer not often emerges from thought alone. It emerges from contact with actuality. AI can in some ways assist right here.

First do it, then do it proper, then do it higher. Get the ugly prototype in entrance of customers. Write the messy first draft of the design doc. Ship the MVP that embarrasses you barely. You’ll be taught extra from one week of actual suggestions than a month of theoretical debate.

Momentum creates readability. Evaluation paralysis creates nothing.

4. Readability is seniority. Cleverness is overhead.

The intuition to put in writing intelligent code is sort of common amongst engineers. It looks like proof of competence.

However software program engineering is what occurs while you add time and different programmers. In that surroundings, readability isn’t a mode choice. It’s operational threat discount.

Your code is a method memo to strangers who will preserve it at 2am throughout an outage. Optimize for his or her comprehension, not your class. The senior engineers I respect most have discovered to commerce cleverness for readability, each time.

5. Novelty is a mortgage you repay in outages, hiring, and cognitive overhead.

Deal with your expertise selections like a company with a small “innovation token” price range. Spend one every time you undertake one thing materially nonstandard. You possibly can’t afford many.

The punchline isn’t “by no means innovate.” It’s “innovate solely the place you’re uniquely paid to innovate.” The whole lot else ought to default to boring, as a result of boring has recognized failure modes.

The “greatest instrument for the job” is commonly the “least-worst instrument throughout many roles”—as a result of working a zoo turns into the true tax.

6. Your code doesn’t advocate for you. Folks do.

Early in my profession, I believed nice work would communicate for itself. I used to be mistaken. Code sits silently in a repository. Your supervisor mentions you in a gathering, or they don’t. A peer recommends you for a undertaking, or another person.

In massive organizations, selections get made in conferences you’re not invited to, utilizing summaries you didn’t write, by individuals who have 5 minutes and 12 priorities. If nobody can articulate your influence while you’re not within the room, your influence is successfully non-obligatory.

This isn’t strictly about self-promotion. It’s about making the worth chain legible to everybody—together with your self.

7. The perfect code is the code you by no means needed to write.

We have fun creation in engineering tradition. No person will get promoted for deleting code, regardless that deletion typically improves a system greater than addition. Each line of code you don’t write is a line you by no means need to debug, preserve, or clarify.

Earlier than you construct, exhaust the query: “What would occur if we simply…didn’t?” Typically the reply is “nothing unhealthy,” and that’s your answer.

The issue isn’t that engineers can’t write code or use AI to take action. It’s that we’re so good at writing it that we neglect to ask whether or not we should always.

8. At scale, even your bugs have customers.

With sufficient customers, each observable habits turns into a dependency—no matter what you promised. Somebody is scraping your API, automating your quirks, caching your bugs.

This creates a career-level perception: You possibly can’t deal with compatibility work as “upkeep” and new options as “actual work.” Compatibility is product.

Design your deprecations as migrations with time, tooling, and empathy. Most “API design” is definitely “API retirement.”

9. Most “sluggish” groups are literally misaligned groups.

When a undertaking drags, the intuition is responsible execution: Folks aren’t working exhausting sufficient; the expertise is mistaken; there aren’t sufficient engineers. Often none of that’s the actual drawback.

In massive corporations, groups are your unit of concurrency, however coordination prices develop geometrically as groups multiply. Most slowness is definitely alignment failure—individuals constructing the mistaken issues, or the best issues in incompatible methods.

Senior engineers spend extra time clarifying course, interfaces, and priorities than “writing code sooner” as a result of that’s the place the precise bottleneck lives.

10. Concentrate on what you’ll be able to management. Ignore what you’ll be able to’t.

In a big firm, numerous variables are outdoors your management: organizational modifications, administration selections, market shifts, product pivots. Dwelling on these creates anxiousness with out company.

The engineers who keep sane and efficient zero in on their sphere of affect. You possibly can’t management whether or not a reorg occurs. You possibly can management the standard of your work, the way you reply, and what you be taught. When confronted with uncertainty, break issues into items and establish the precise actions accessible to you.

This isn’t passive acceptance, however it is strategic focus. Power spent on what you’ll be able to’t change is vitality stolen from what you’ll be able to.

11. Abstractions don’t take away complexity. They transfer it to the day you’re on name.

Each abstraction is a wager that you simply received’t want to grasp what’s beneath. Typically you win that wager. However one thing at all times leaks, and when it does, you want to know what you’re standing on.

Senior engineers continue to learn “decrease degree” issues whilst stacks get greater. Not out of nostalgia however out of respect for the second when the abstraction fails and also you’re alone with the system at 3am. Use your stack.

However maintain a working mannequin of its underlying failure modes.

12. Writing forces readability. The quickest strategy to be taught one thing higher is to attempt instructing it.

Writing forces readability. After I clarify an idea to others—in a doc, a chat, a code evaluation remark, even simply chatting with AI—I uncover the gaps in my very own understanding. The act of creating one thing legible to another person makes it extra legible to me.

This doesn’t imply that you simply’re going to learn to be a surgeon by instructing it, however the premise nonetheless holds largely true within the software program engineering area.

This isn’t nearly being beneficiant with data. It’s a egocentric studying hack. If you happen to assume you perceive one thing, attempt to clarify it merely. The locations the place you stumble are the locations the place your understanding is shallow.

Educating is debugging your individual psychological fashions.

13. The work that makes different work potential is priceless—and invisible.

Glue work—documentation, onboarding, cross-team coordination, course of enchancment—is significant. However if you happen to do it unconsciously, it might probably stall your technical trajectory and burn you out. The lure is doing it as “helpfulness” reasonably than treating it as deliberate, bounded, seen influence.

Timebox it. Rotate it. Flip it into artifacts: docs, templates, automation. And make it legible as influence, not as character trait.

Priceless and invisible is a harmful mixture in your profession.

14. If you happen to win each debate, you’re most likely accumulating silent resistance.

I’ve discovered to be suspicious of my very own certainty. After I “win” too simply, one thing is often mistaken. Folks cease preventing you not since you’ve satisfied them however as a result of they’ve given up attempting—they usually’ll categorical that disagreement in execution, not conferences.

Actual alignment takes longer. You must really perceive different views, incorporate suggestions, and typically change your thoughts publicly.

The short-term feeling of being proper is value a lot lower than the long-term actuality of constructing issues with keen collaborators.

15. When a measure turns into a goal, it stops measuring.

Each metric you expose to administration will ultimately be gamed. Not via malice however as a result of people optimize for what’s measured.

If you happen to observe strains of code, you’ll get extra strains. If you happen to observe velocity, you’ll get inflated estimates.

The senior transfer: Reply to each metric request with a pair: one for pace; one for high quality or threat. Then insist on decoding tendencies, not worshiping thresholds. The objective is perception, not surveillance.

16. Admitting what you don’t know creates extra security than pretending you do.

Senior engineers who say “I don’t know” aren’t exhibiting weak spot. They’re creating permission. When a pacesetter admits uncertainty, it indicators that the room is secure for others to do the identical. The choice is a tradition the place everybody pretends to grasp and issues keep hidden till they explode.

I’ve seen groups the place essentially the most senior individual by no means admitted confusion, and I’ve seen the injury. Questions don’t get requested. Assumptions don’t get challenged. Junior engineers keep silent as a result of they assume everybody else will get it.

Mannequin curiosity, and also you get a workforce that really learns.

17. Your community outlasts each job you’ll ever have.

Early in my profession, I targeted on the work and uncared for networking. In hindsight, this was a mistake. Colleagues who invested in relationships—inside and outdoors the corporate—reaped advantages for many years.

They heard about alternatives first, may construct bridges sooner, obtained really helpful for roles, and cofounded ventures with individuals they’d constructed belief with over years.

Your job isn’t endlessly, however your community is. Strategy it with curiosity and generosity, not transactional hustle.

When the time comes to maneuver on, it’s typically relationships that open the door.

18. Most efficiency wins come from eradicating work, not including cleverness.

When techniques get sluggish, the intuition is so as to add: caching layers, parallel processing, smarter algorithms. Typically that’s proper. However I’ve seen extra efficiency wins from asking, “What are we computing that we don’t want?”

Deleting pointless work is sort of at all times extra impactful than doing mandatory work sooner. The quickest code is code that by no means runs.

Earlier than you optimize, query whether or not the work ought to exist in any respect.

19. Course of exists to cut back uncertainty, to not create paper trails.

The perfect course of makes coordination simpler and failures cheaper. The worst course of is official theater. It exists to not assist however to assign blame when issues go mistaken.

If you happen to can’t clarify how a course of reduces threat or will increase readability, it’s most likely simply overhead. And if persons are spending extra time documenting their work than doing it, one thing has gone deeply mistaken.

20. Ultimately, time turns into value greater than cash. Act accordingly.

Early in your profession, you commerce time for cash—and that’s nice. However sooner or later, the calculus inverts. You begin to understand that point is the nonrenewable useful resource.

I’ve watched senior engineers burn out chasing the following promo degree, optimizing for a number of extra proportion factors of compensation. A few of them obtained it. Most of them puzzled, afterward, if it was value what they gave up.

The reply isn’t “don’t work exhausting.” It’s “know what you’re buying and selling, and make the commerce intentionally.”

21. There aren’t any shortcuts, however there may be compounding.

Experience comes from deliberate follow—pushing barely past your present ability, reflecting, repeating. For years. There’s no condensed model.

However right here’s the hopeful half: Studying compounds when it creates new choices, not simply new trivia. Write—not for engagement however for readability. Construct reusable primitives. Accumulate scar tissue into playbooks.

The engineer who treats their profession as compound curiosity, not lottery tickets, tends to finish up a lot additional forward.

A closing thought

Twenty-one classes seems like quite a bit, however they actually come down to some core concepts: Keep curious, keep humble, and keep in mind that the work is at all times about individuals—the customers you’re constructing for and the teammates you’re constructing with.

Addy Osmani at Google

A profession in engineering is lengthy sufficient to make loads of errors and nonetheless come out forward. The engineers I like most aren’t those who obtained the whole lot proper. They’re those who discovered from what went mistaken, shared what they found, and saved exhibiting up.

If you happen to’re early in your journey, know that it will get richer with time. If you happen to’re deep into it, I hope a few of these resonate.

Addy will probably be becoming a member of Tim O’Reilly on February 12 for an hour-long deep dive into the teachings he’s discovered over his profession. They’ll additionally chat in regards to the progress being made in agentic coding workflows, in a dialog guided by questions from the viewers. Save your seat. It’s free. 

Then on March 26, Addy and Tim will probably be internet hosting the following occasion in our AI Codecon sequence: Software program Craftsmanship within the Age of AI. Over 4 hours, they and a lineup of knowledgeable practitioners will discover what it takes to construct glorious software program within the age of AI that creates worth for all contributors. It’s additionally free and open to all. Register right here.

When you have a narrative to share about the way you’re utilizing brokers to construct modern and efficient AI-powered experiences, we need to hear it—and probably characteristic it at AI Codecon. Get the small print at our name for proposals and ship us your proposal by February 17.

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