Videos ZpK5PWX2YRM
Should AI Engineers Still Read Code in 2026? The Z/L Continuum — Alex Volkov, ThursdAI
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47 shot(s).
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Provenance
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Transcript
373 cues· 3,774 words· 20,097 chars
- 0:12 Two talks at AI Engineer Europe.
- 0:15 One guy is saying, code is free, and deleted his ID.
- 0:19 And the other one is saying, read every effing line of code.
- 0:24 So should AI engineers still read code their agents output in 2026?
- 0:31 I named this the Zetian Lopopolo Continuum.
- 0:34 And you guys probably have argued about this in Slack.
- 0:37 You probably talked about this in the hallway track.
- 0:39 So let's talk about this here.
- 0:40 Because code got cheap, attention didn't.
- 0:46 As you...
- 0:48 may know, back in December 2025, something big changed.
- 0:52 AI engineering has changed forever, and it broke its own trend line.
- 0:56 Actually, Swiggs, the organizer of AI Engineer, is collecting evidence to that single moment in time at the website called wtfhappened2025.com.
- 1:05 I recommend you go and check it out.
- 1:07 It's really, really funny.
- 1:08 This is just one example from METR, the Machine Evaluation Center.
- 1:13 And it shows that models, for the first time,
- 1:17 started completing tasks that would take engineers over 16 hours to do, and in fact we've gone way up the curve, way up the trend line after that.
- 1:26 This is the backdrop to everything that AI engineering is experiencing.
- 1:31 Because we don't write code anymore, most of us at least.
- 1:36 I want to see one.
- 1:37 Can you guys give me a raise of hands if you still handcraft and write code, most of your code?
- 1:42 Anybody here, most of your code is written by hand?
- 1:44 Amazing.
- 1:45 This is the token maxing track after all.
- 1:48 I think the one person here who still writes code is maybe a little shy of raising their hand.
- 1:52 That's OK. Because we don't type code anymore.
- 1:54 We're not hand crafters.
- 1:55 We supervise.
- 1:56 I like to say we're babysit agents.
- 2:00 The greatest example for this, obviously, is Boris Cherny.
- 2:03 You guys know Boris, the creator of Cloud Code at Anthropic.
- 2:07 100% of his code is written and authored by Cloud Code at this point.
- 2:10 And he didn't stop being an engineer.
- 2:12 He moved up the layer.
- 2:14 He still ships 20 to 30 PRs, maybe more.
- 2:18 And recently he talked about he deleted his ID.
- 2:21 I found it really funny.
- 2:22 Just no reason to just hand type code anymore.
- 2:26 In fact, 80% of Entropiq's code is now AI written.
- 2:29 And this stat is at least a few months old.
- 2:32 It's likely more right now.
- 2:36 And he's not the only one.
- 2:37 Some of you have seen this chart from GitHub.
- 2:41 Some of you have maybe remembered this chart while GitHub was down for you.
- 2:44 The reason is GitHub is on track to get 14 billion commits this year.
- 2:51 All of 2025, all of last year was 1 billion.
- 2:56 They're 14x-ing the number of commits.
- 2:58 They're seeing 14x the number of commits, which is insane.
- 3:01 And most of this is AI-assisted.
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Chapters
- 0:00 Introduction
- 0:48 The shift in AI engineering since December 2025
- 1:32 The trend of AI-assisted coding and reduced manual input
- 3:37 The core conflict: "Code is free" vs. "Read every line"
- 6:13 Defining the Z/L Continuum
- 8:02 Analyzing the "code is free" perspective (Ryan Lopopolo/OpenAI)
- 9:31 Risks of rapid AI output and incident rates
- 11:04 Recursive Self-Improvement (RSI) and human review as a bottleneck
- 12:08 The correction: Focusing on tasks, not people
- 13:56 Recommended strategy: Routing changes for appropriate verification
- 15:52 Emerging capabilities: Fable and Mythos
- 17:16 Capability drift and the shift toward "Loops"
- 18:16 Understanding "Loops" as the next engineering primitive
- 20:15 Future outlook and maintaining flexibility