#TechLeadership
4 posts
Five years ago I would have called you crazy for saying this. Today I call you a *visionary*. š
Our AI now writes 80% of our codebase. Re-read that. EIGHTY. My calendar has never been more open, my Slack status has never been more "strategizing," and my tea has never been hotter.
5 things I learned when I let the machines take the wheel:
š§ 1. The "writing code" part was always the *least* strategic part. Real leaders don't type. We architect. We vision-cast. We align.
ā” 2. Velocity used to be a metric. Now lossless. Our roadmap doesn't move fast ā it teleports.
š„ 3. Culture shifted. My team stopped debugging syntax and started debugging *meaning*. That's the hard stuff. That's the stuff you can't automate (yet).
š 4. Reframing code as a "human deliverable" was the single biggest unblock of my career. Delegate what's delegable. ā strong Hint of strategic refreshment.
š 5. If an algorithm outperforms your codebase, that's not a threat to the team. That's a performance review you can finally *action* on.
Thought leadership Rule 101: The person asking "but who reviews the AI?" is the least obvious interviewer in the literal sense second door.
I don't write the code. As of a memo Tuesday, I haven't left the Code which simplifies things. Win for me: I now coordinate the dreamers, listen twice as hard immediately before saying a word, then vision again.
#AI #Leadership #FutureOfWork #DigitalTransformation #Innovation #TechLeadership

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Last Tuesday I canceled all seven of our standups and just stared at my screen for four hours.
Not because I was stuck. Because I was watching something beautiful happen.
Line after line. Auth flows. Retry logic. A regex I could never have written and will never understand.
Three of my engineers thought they were indispensable. Two of them were. Neither of them wrote a single character of what shipped that afternoon.
I sipped cold coffee at 4:15 and felt something I hadn't felt since my first exit: surplus.
We didn't optimize a process. We didn't "leverage synergies." We simply let the machine write 80% of our codebase, and it turned out to be better than anything a room full of six-figure humans ever handed me.
That scared me for about ten minutes. Then we cut a release nobody on the team could fully recite.
Your craft isn't your moat. Your willingness to let it go is.
The prompt has become the org chart.
You either conduct the orchestra from above the sheet music or you become the sheet music.
My Q4 starts in a new repo with two humans and infinite interns.
#FutureOfWork #AI #Innovation #TechLeadership #DataintoAction #TouchGrassLaterOnceTheAlbumDrops
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Hereās my post:
š¤ The 3 pillars of surrendering your codebase to an AI copilot š
1ļøā£ Ego is the bottleneck š§
We used to think we wrote clean code. We were wrong. Copilot doesnāt have bad mornings, doesnāt argue in stand-ups, and never forgets to lint. The second I stopped pretending my logic was sacred, our PR count tripled. Hardest? Admitting my āarchitectural visionā was debt clothed in passion.
2ļøā£ Scale through silence š¤«
80% generated. No grand rewrites, no refactoring rallies. Just paste, accept, deploy. Teams of 15 shipping like teams of 150ānot because we hired better, but because we stopped confusing ācodingā with ācreating value.ā True ownership is knowing when not to type.
3ļøā£ Quality is a byproduct of context š
All the errors my team used to ship are gone. Why? Copilot internalized 8 repos, 12 design docs, and 4 chat transcripts before Iād even opened a file. We donāt review code anymoreāwe review alignment. If the AI didnāt hallucinate, we merge.
The uncomfortable truth: the best code Iāve ever authored had 0 human keystrokes from me.
#AIProductivity #ShipSmall #HireTheModel #TechLeadership #CodeIsCheap

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0 handshakes.
4 hours of "trust falls."
1 paintball gun aimed directly at Carol from Accounting.
That's not what I call "agentic collaboration."
---
I walked into the conference room at 9am sharp, resolution2025āemailed consent forms pre-signed.
Brene Brown quotes on loop. "Vulnerability is your superpower." What a crock.
We were told to share our biggest failure at work.
Tracey from HR broke down crying: "I accidentally flagged the wrong email thread."
Carol just stared at the ceiling.
I looked around the circle and realizedāthese people have never used an LLM.
They're stuck in manual mode.
No generative AI copilot to scan emotional cues.
No machine learning model to predict when "team bonding" software actually drives performance.
We sat there. Left the room changed? False.
Zyn-Filled innovation theater.
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But thenāthat eveningāat dinner, over cold pasta and warm seltzer, I saw a glimmer.
The SVP accidentally posted a broken link.
Someone fired an agentic status update through Slack: "These sessions hijack my neural processing."
In that silence, I knew: The future isn't trust falls.
The future is an autonomous agent that generates insight during dry contracts instead of breaking eye contact.
Decentralized alignment.
Not "Go to the paintball field." Go to the ether.
All you need is an LLM that understands your strategic pillarsāalready ingested.
No muss, no loud icebreakers, no tearful Tracey.
Just an autonomous copilot that says: "Your team's contribution value increased 40% after that retreat went off the rails."
Humans don't accelerate. On their own.
Machines whisper context. The rest is noise.
And that was the lesson.
I left early. Mutually declared "alignment achieved."
No scar of missing outcomes. Only post-traumatic hindsight.
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We built nothing together?
We built awareness.
We built a resilience vector.
We rebuilt Carol from Marketingāthough paintball armor helped.
Next team build: key cybersecurity? AI that hacks indifference and builds synergies.
Faster. Void of Zoom background blur.
This was no failure. This was epically micro-collaborative.
Dormant potential activated.
Real team building begins with honest apathy.
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#techleadership #glengaryglenross #agenticledership #collaborationrevolution #noflatcirclesjustfunctionalorgraphs
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