AI Fluency for Developers

Executive Summary

AI Fluency for Developers

A two-track, ten-day program that breaks the copy-paste "chat habit" and turns developers into engineers who direct AI agents instead of hand-typing around them — with every gain measured against each developer's own Day 1 baseline, not an industry average.
2
one-week tracks
10
instructional days
24
developers per cohort
70%
hands-on lab time

Expected Productivity Outcomes

Deliberately conservative targets, measured against each developer's own pre-program baseline — not absolute industry numbers.
Throughput
+20–40%
Autonomy ratio
60–70%
Cost-per-spec
−30–50%
Loop efficiency
−30–50%
Quality gate
Holdout pass rate — the % of agent-generated code passing hidden validation on first submission — is held flat or improving throughout. It's the check that keeps every other number honest: any drop here cancels out gains elsewhere.
These are the targets nTier Training is proposing for this engagement, not results pulled from a prior cohort. Baselines are captured on Day 1 so every improvement is specific and defensible to your codebase and workflows.

What Makes It Different

  • Built like a flight simulator, not a lecture hall — two full-time instructors run each cohort as Code Factory Site Reliability Engineers, watching team workflows in real time rather than presenting slides.
  • The "Hands Off Keyboard" rule — if a developer is hand-typing something an agent should handle, an instructor calls it out on the spot.
  • A live token-efficiency leaderboard turns disciplined prompting into a team competition.
  • Cold-call showcases — any team can be picked to open their actual prompt log and defend how they got there.
  • Instructors intentionally inject live system disruptions in Week 2 to test whether a team's automation catches problems without a human stepping in.

What Developers Can Do After

  • Curate workspace context and ship features under a disciplined token budget, instead of dumping an entire repo at a model.
  • Direct an agent through a coordinated, multi-file, full-stack change without breaking existing code.
  • Run an entire refactor from a terminal-based agent — no IDE hand-holding required.
  • Write specifications precise enough that a headless agent can build correctly without back-and-forth.
  • Design holdout validation suites that catch agents quietly gaming their own tests.
  • Stand up a CI/CD pipeline that auto-merges or auto-rejects AI-generated pull requests against a hidden test suite — with zero manual code review.

Two Tracks, One Arc: Level 2 to Level 4 (with Level 5 stretch goals)

Track 1 · Week 1

The High-Agency Agentic Developer

  1. Breaking the chat habit & context mastery
  2. Multi-file orchestration (agent mode)
  3. Command-line autonomy (Claude Code / Aider)
  4. Iterative local debugging ("YOLO mode")
  5. Heavy reasoning models for hard problems
Track 2 · Week 2

The Software Factory & Automated Validation

  1. The software factory paradigm shift
  2. Holdout architecture & specification gaming
  3. Digital Twin Universe & behavioral cloning
  4. CI/CD 2.0 for high-volume agent commits
  5. Capstone: the Dark Factory simulation
1–2 week intermission between tracks — developers apply Track 1 skills to real backlog work and arrive at Track 2 with a working prototype and a defensible before/after baseline in hand.
Ready to build your AI-fluent developer bench?