Why the Best Engineering Leaders Stay Technical (The Myth That Hurts Most Tech Orgs)

Last updated: June 22, 2026 | By Kris Drouet, in partnership with KORE1

I have spent 25 years in engineering, almost all of it in regulated industries where a sloppy quarter eventually surfaces on someone’s compliance report. Somewhere in the middle of that run, I watched a thing happen to a lot of my peers. They got promoted, and then they let go of the craft. They stopped reading code. They stopped sitting in the architecture reviews. A year later they were standing in front of their own teams nodding along to things they no longer understood, dependent on those teams to tell them what was even possible.

I made a different call. I stayed close to the build. Not out of ego. I wasn’t the smartest person in those rooms and I knew it. I stayed because I had already learned the thing the drifters learn too late, that a leader who can’t follow the work can’t tell when the work is in trouble. That one decision is most of why I still get the call when a company’s engineering org has stalled and nobody can say why. Half the time the diagnosis traces straight back to why engineering velocity actually stalls, and a surprising amount of it starts with a leader who quietly went non-technical and never told anyone.

So let me argue with the most popular career advice in our field. The advice that says the higher you go, the further you should drift from the code. It is wrong. It is, in my experience working alongside KORE1’s engineering staffing teams across growth-stage and mid-market companies, one of the most expensive pieces of conventional wisdom an org can swallow.

The Myth, Stated Plainly

The myth goes like this: the best engineering leaders eventually stop being technical, because their job becomes people, strategy, and headcount, and the code is something they delegate away for good. It sounds mature. It is mostly false.

Here is the fair version of the argument, because it deserves one. As you take on more people, your hours get eaten by things that are not code. Hiring. Roadmaps. The budget conversation nobody enjoys. There are only so many hours, and every one you spend in a pull request is an hour you did not spend unblocking the team or shielding them from a thrash coming down from above. Harvard Business Review has made a version of this case, arguing that leaders need digital literacy more than they need to personally write production code. Read narrowly, that is true. I do not want my VP of Engineering shipping features on the critical path.

But the myth does not say “stop shipping features.” The myth says stop being technical. Those are not the same sentence, and the gap between them is where good orgs quietly rot.

The Builder-Leader-Advisor Arc

I think about an engineering career as an arc with three stages, and I have come to call it the Builder-Leader-Advisor Arc. The mistake almost everyone makes is reading it as a staircase, where you climb off each step and leave it behind. It is not a staircase. It is accumulation. Each stage earns the right to the next, and you carry the earlier ones with you the whole way.

You earn the right to advise by having built. You earn the right to lead by staying close enough to the build that nobody can fool you. Drop the bottom of the arc and the top collapses. An advisor who hasn’t built in a decade is just a person with opinions and a calendar.

The third column is the tell. It never empties. By the time you are advising a board on a platform bet, the amount of code you personally write has dropped to almost nothing. The amount you need to understand has not. That is the part the myth gets exactly backwards.

What “Staying Technical” Actually Means

Let me kill a strawman before someone builds it for me. Staying technical does not mean reviewing every pull request. It does not mean reaching into your team’s repos and rewriting their work to match your preferences. I worked for a leader like that early on. Brilliant guy. He reviewed every PR down to variable names, and I watched three excellent engineers leave inside eighteen months because they were tired of executing someone else’s vision. That is not staying technical. That is being a bottleneck with a title.

Here is how I define the actual job. Engineering leadership is not managing tickets. It is not running standups. It is building the system around the team, the clarity, the prioritization, the culture of ownership, so good engineers can do their best work without waiting on you. If you are the bottleneck, you are not leading. You are a senior individual contributor with a calendar full of one-on-ones.

So what does staying technical look like in practice? It is narrower than coding and deeper than digital literacy. You can still read your team’s code and follow it. You can sit in an architecture review and ask the question that makes the room uncomfortable. You know what your stack costs to run and roughly why. When an engineer says a thing will take six weeks, you have enough context to know whether that is a real estimate or a number chosen to buy breathing room. You stay fluent. You do not stay in the way.

What Breaks When a Leader Goes Non-Technical

The decay is slow, which is what makes it dangerous. Nobody wakes up non-technical. You skip one architecture review because your calendar is on fire. Then you skip the next because you skipped the last one and feel behind. Six months in, an engineer is walking you through a decision and you are nodding at words instead of following the logic. You have crossed a line you never saw.

Three things break, in order.

First, you lose the bluff detector. Lose the thread of the work and you can’t separate a genuinely hard problem from a team that’s stuck and too proud to admit it. A senior engineer tells you the migration needs another quarter. True? Six months ago you’d have known cold. Now you’re guessing. And the team can tell you’re guessing, which is worse. That is corrosive in a way that compounds. People calibrate their honesty to what they think you can verify.

Second, you become dependent on your team to define what is possible. Sounds collaborative. It’s a trap. When the only people who can judge whether something is feasible are the same people who’d have to build it, your strategy now belongs to whoever sounds most sure in the room. I have watched a VP of Engineering greenlight an eighteen-month replatform because the loudest architect wanted to, when a leader who still read code would have spotted that they were rebuilding a system whose original decisions had simply never been written down.

Third, you get sold. Vendors can smell a non-technical buyer from across a conference hall. Every build vs buy conversation gets harder when you can’t evaluate the thing being pitched. Show me the data, I say. Then I’d better be able to read the data I just asked for. The leaders who lose that ability sign on the strength of a good demo, and a good demo is the cheapest thing in software to fake.

The Data Sides With the Hands-On Leader

This is not just my opinion, even though I’d hold it on instinct alone. The evidence has been piling up for a decade, and it points the same direction every time.

Start with the biggest study I know on the subject. Roughly 35,000 employees across the US and UK got surveyed. The single biggest driver of how satisfied they were at work wasn’t pay. Wasn’t perks. It was whether the person above them could actually do the job. For engineers, that means a leader who can read the code is not a nice-to-have. It is the thing most tied to whether your best people stay.

Then look at who is actually in these chairs. The 2024 Stack Overflow Developer Survey found that people managers and senior executives report the highest coding experience of any role, with managers averaging close to 16 years of professional coding and senior executives over 17. The leaders running engineering did not get there by avoiding the craft. They got there because of it, and the good ones never fully let go.

Harvard Business Review ran a piece in late 2025 with the almost defiant title “The Surprising Success of Hands-On Leaders.” The surprise, of course, is only a surprise if you bought the myth. The leaders who stay close to how the work actually gets done keep outperforming the ones who float above it. Nobody who has run a real team finds that surprising at all.

The AI Wrinkle Nobody Saw Coming

Here is the part that makes 2026 different. Six years ago you could argue that a non-technical engineering leader was a manageable risk, because the code mostly came from people you trusted, and people are bad at lying consistently for months. That argument is dead now.

Your team is shipping code written, in part, by a machine that is extremely good at producing output that looks right. AI-generated code is plausible by default. It compiles. It reads cleanly. It carries subtle assumptions that are wrong in ways only someone fluent in the system would catch, the kind of wrong that slips past every test you thought to write and then quietly corrupts a downstream report nobody checks until a customer does. If you are a leader who can’t read code, you have lost your last line of defense at the exact moment the volume of plausible-but-wrong work went up by an order of magnitude.

This is why most of the AI pilots I get pulled in to look at die in the demo and never reach production. Not because the technology can’t do it. Because the leader who approved the pilot couldn’t tell the difference between a demo that works and a system that works, and those are very different things. The technical leaders are pulling ahead right now. The gap is widening monthly, and it is widening fastest at the seam between what AI can generate and what a human still has to verify.

How to Stay Technical Without Becoming the Bottleneck

The fear underneath all of this is real, so let me address it directly. Leaders go non-technical partly by accident and partly because they are afraid that staying in the code means becoming the micromanager nobody wanted. Fair fear. Here is how you stay fluent without choking your team.

Pick one system and stay genuinely deep on it. Not all of them. One. The one that scares you most or matters most to the business. Read its code monthly. You are not reviewing it. You are keeping a live map in your head of how at least one real part of your world actually works.

Pair, occasionally, with no authority in the room. Sit next to an engineer for an afternoon and let them drive. Ask the dumb question. The point is not to contribute. The point is to feel where the friction lives, because that friction is the thing your roadmap keeps mispricing.

Read the architecture decisions, even the ones you don’t have to approve. When a real call gets made, ask for the one-page write-up: what we chose, what we rejected, and why. If your org doesn’t write those down, that is its own problem, and it is usually a symptom of the kind of operational discipline that protects velocity having gone missing.

And keep your hands off the critical path. This is the discipline that makes the rest safe. Stay fluent enough to follow, judge, and call a bluff. Never so involved that the team waits on your keyboard to ship. The day your engineers start routing decisions through you that they are perfectly capable of making, you have traded leadership for control, and you will lose your best people to it.

The Hiring Side of This

I can’t write about technical leadership without naming the hire that creates the problem in the first place. Companies take their strongest senior engineer, hand her a team, and call it a promotion. No transition plan. No coach. No path back to IC work if it doesn’t fit. She misses the craft. She resents the calendar. Around month nine she’s gone, and a senior engineer who trusted her judgment leaves three weeks later. If you want the long version, I wrote it up in why you shouldn’t promote your best IC into management without a real plan.

The fix is a direct hire decision dressed as a people decision. You either build the leader, slowly, with a real safety net, or you buy one who has run the role before and pair them with internal context so they don’t flail their first quarter. Both work. The lazy default, promote and pray, is the one that burns two careers at once.

This is where KORE1’s numbers actually mean something. They place engineering leaders into both paths and report a 17-day average time-to-hire for IT roles and 92 percent twelve-month retention on placements. Those aren’t vanity stats. They are the difference between a leader who lands and one who washes out at the nine-month mark and takes two senior software engineers out the door with them. Retention is the only hiring metric that survives contact with reality.

The Bottom Line for VPs and CTOs

If you take one thing from this, take the arc. Builder, Leader, Advisor. You don’t graduate off the bottom. You stand on it. The leaders I have watched lose their orgs are almost always the ones who decided that staying technical was beneath the role, right up until the day their team quietly stopped trusting them to know the difference between hard and impossible.

You don’t have to be the best engineer in the building. You stopped needing that years ago. What you can’t lose is the fluency that keeps anyone from telling you something false about the work and getting away with it. That’s the whole job. It doesn’t expire.

If you want to talk through where you sit on the arc, or whether you’ve drifted further from the code than you meant to, connect with me on LinkedIn. If your engineering leadership bench is thin and you want to talk to people who place these roles for a living, you can reach out to KORE1’s engineering hiring team.

What VPs and CTOs Ask Me When This Comes Up

Do I actually need to keep coding once I’m running an org?

No, not on the critical path. You need to stay fluent enough to read your team’s code, follow an architecture review, and tell a real estimate from a padded one. Fluent, not shipping.

The confusion is between writing code and being technical. A VP who writes features is usually a bottleneck. A VP who can’t read the features her team ships is usually getting played. The target sits between those two, and most leaders who “go non-technical” overshoot it by a mile because nobody told them there was a middle.

How technical is technical enough for a VP of Engineering?

Here’s my bar. You can pull up any core system your team owns and follow the code well enough to ask a question the engineers respect. Can you do that? Then you’re technical enough. If you can’t, you’ve drifted.

It scales down sensibly. You don’t need depth on all twelve services. You need real depth on one and working fluency across the rest. The leaders who keep one system in their hands keep their instincts calibrated, and instincts are most of what you’re paid for at that level.

Won’t staying in the code turn me into a micromanager?

Only if you confuse staying fluent with staying in control. Reading code to understand your world is leadership. Rewriting your team’s code to match your taste is the thing that makes good engineers quit.

I learned this from the wrong side, working for someone who reviewed every line I wrote. The discipline that keeps you safe is simple to say and hard to hold: stay off the critical path. Follow the work, judge the work, never become the reason the work can’t ship without you.

I’ve been out of the code for three years. Is it too late to get back in?

Not too late. Honestly, it’s easier than you’re afraid it is. Pick one system, read its code an hour a week, pair with an engineer once a month. You’re not relearning everything. You’re rebuilding a map.

The hardest part is the ego, honestly. Asking a junior engineer to walk you through a service you’re supposed to lead feels exposing the first time. It stops feeling that way by the third time, and your team will respect the move more than they’d ever respect the pretending you were doing before.

Does any of this change now that AI writes so much of the code?

It makes staying technical more important, not less. AI produces code that looks right and is sometimes quietly wrong. A leader who can’t read code just lost the only filter that catches the difference.

The orgs pulling ahead in 2026 are the ones whose leaders can still evaluate output, human or machine. The build vs buy calls around AI tooling are landing on desks every week, and the leaders signing them on the strength of a slick demo are the ones who’ll be explaining a failed pilot to their board next year. Fluency is the defense. There isn’t another one.

Related reading: The Clarity Stack: 3 Reasons Engineering Velocity Stalls, Promoting Your Best IC to Engineering Manager Without Ruining Two Careers, and Operational Discipline Is Not Bureaucracy.