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Sebastian Interview — How AI Is Reshaping Software Engineering

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Source Metadata

  • Date: pre-webinar conversation (date not stated)
  • Raw path: raw/sources/sebastian interview - conclusions and insights.md
  • Source type: interview (conclusions/insights), ~56 min. Built from a Whisper large-v3 + speaker-diarized transcript; quotes lightly cleaned.
  • Participants: sebastian (founder of virtido, ~11-yr outsourcing firm) and eugene (interviewer; CV/embedded developer, content creator, harness-builder)
  • Ingestion date: 2026-07-14

Core Claims

Key Evidence / Details

  • The question changed: "It's not a question if AI can write software anymore — it's just a question of how you use it."
  • Team collapse: no scrum master + PM + requirements engineer + big dev team — instead one coordination/ownership role + one or two agent-managers sharing roles.
  • Harness at enterprise scale: Eugene demoed his own (Telegram-like UI, one agent per project, inter-agent messaging, per-agent memory, "done thinking" signal; tools: Conductor for git-worktree isolation + auto PRs/merges). Sebastian's counter: "bring-your-own-harness will not be the way forward… it has to be a company-managed resource." Enterprise reality: engineers on centrally-managed VMs, zero self-install (Roche SAP transformation ~1,200 engineers for years; banks moving from banned → cautious adoption "because it's just so good").
  • Seniors up, juniors out: seniors know where things go wrong ("AI does the same mistakes humans do because it's trained on our mistakes"); the junior "yes… yes… allow for all future" habit is how "API keys are leaked, databases get dumped." "Give a junior… access to this almighty Claude and… the codebase — they will [wreck] it in two days."
  • Ownership story: an engineer implemented "change your photo," ticked every acceptance criterion, but shipped it ugly (visible in the corner) because they never looked at the result. Reframe: stop thinking "what needs to be done" (tickets); think "what problem needs to be solved." "No one ever needed a programmer… people have problems that you are solving."
  • Planning debate: colleague Daniel floated returning to waterfall; Sebastian disagrees — coordination overhead now exceeds the work. On a 2-person, ~1-day/week project he's faster alone. Printer anecdote: unfamiliar direct-printing protocol in Java (never written), 2-day deadline — went on-site, Claude Code solved it in ~30 min; his edge was knowing how to instruct and verify.
  • Connections (the moat): in-person 24 days/week (lunches, events, conferences) wins business; sales agencies / cold calling / email / LinkedIn campaigns / content / SEO = "Big zero." A connection forms on the second meeting in different circumstances → recognition → trust → referrals. Be memorable in your humanness (renovating a house, two kids, a cat) — because everyone's AI output looks identical (riff: Virtido's humans.verti.com "human badge").
  • Other points: open source grows as code becomes ~free (Eugene's cynical read: OSS is largely marketing); legacy niches persist (COBOL in banks — no training data); outsourcing economics — low-cost expectation selects for bad code ($10k/mo → excellent people; $800/mo won't beat a good hire).

Connections

Open Questions

  • How does AI transform huge (~1,200-engineer, multi-year) enterprise programs? (Sebastian: doesn't know.)
  • How do you unify wildly different personal workflows into one company process? (Eugene + collaborator spent a month, failed.)
  • Concretely, how does an individual build a connections network from a standing start? (Principles offered; step-by-step unresolved — Eugene's ~6-month blocker.)

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