Fast Crimes at Lambda School

Alleged misconduct and outcomes

• Many commenters see the school as fundamentally fraudulent: inflated job-placement stats, misleading marketing, and attempts to collect ISAs from students who didn’t get qualifying software jobs or were already employed in unrelated tech roles.
• Several describe chaotic operations: frequent curriculum changes mid-cohort, unpaid or minimally qualified TAs substituting for instructors, and weak or absent career services.
• Reported actual placement rates (sub‑30% in one claim) are viewed as disastrously low for the promised outcomes.

ISAs, debt, and “indentured servitude”

• Strong disagreement on whether income-share agreements are predatory.
  • Critics call them a form of indentured servitude or “buying equity in a person,” especially when enforced against non‑tech jobs or aggressively sold to vulnerable groups.
  • Defenders argue ISAs are safer than traditional loans (capped, income-based, downside insurance) and popular with some low‑income students.
• There’s broader frustration that traditional student loans can also be opaque, non‑dischargeable, and harmful.

Bootcamps vs university vs self-teaching

• Many say bootcamps can work for a minority: motivated, often already-educated career switchers using them as a forcing function and peer group.
• Others argue most people accepted into mass‑market bootcamps are not well-suited, and that community colleges or CS degrees provide better signaling, structure, and teaching.
• Some insist calculus and CS theory are essential for “computer science”; others say most industry work is CRUD/web dev and never uses advanced math.

Who can learn to code and what’s actually hard

• Split views:
  • One side: “Programming is not that hard; most people can learn basics with time and support.”
  • Other side: professional software engineering is cognitively demanding, especially debugging, taming complexity, architecture, collaboration, and constant frustration.
• Grit, persistence, and tolerance for prolonged confusion are repeatedly cited as more decisive than raw intelligence.

Pedagogy, selection, and scale

• Experienced instructors stress: good teaching is hard; most ed‑tech and bootcamps show little understanding of pedagogy or how to measure learning.
• Selective programs with strong filtering and realistic promises (e.g., some other bootcamps) are reported to do better, but are hard to scale profitably.
• Several argue that overhyping “anyone can become a developer in X months” plus VC pressure for hypergrowth leads directly to misrepresentation and harm.