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agent-adoption-stagelisted

Place an engineering team on the agentic-coding adoption ladder (0 gated → 4 intent-steered) using observables like agents-in-flight per engineer and who writes the code, name the one bottleneck gating the next step, prescribe the single next unlock, and state which current guardrail must change. Use when a leader asks "how far along are we with coding agents", "why has our AI adoption plateaued", or "what do we do next to get more out of this". Do NOT use to assess organisational preconditions like data, policy, and culture (that's ai-readiness-assessment) or to plan a tool's human rollout (that's ai-adoption-rollout).
sananthanarayan/skilldrop · ★ 2 · AI & Automation · score 73
Install: claude install-skill sananthanarayan/skilldrop
# agent-adoption-stage Answer one question honestly: **which rung is this team actually on, and what is the single next thing that moves them up?** Not a scorecard, not a tool list — a placement backed by observables, the bottleneck that gates the next step, and one unlock. Adapted from Boris Cherny's *Steps of AI Adoption* (2026-07-16). The stage names and the bottleneck-shift are his; the guardrail changes and the routing here are skilldrop's, and everything is stated as a **capability** rather than a product so it stays true across tools and across years. The load-bearing idea: **the bottleneck moves.** Each stage is limited by something different, so a fix that unlocked the last step does nothing for the next one. Diagnosing the *current* bottleneck is the whole job; the stage number is just its index. ## The ladder | Stage | Shape | Observable | The bottleneck | |---|---|---|---| | **0 · Gated** | no real access | tools unapproved, gateways slow, no path to run outputs | approval process — a legacy security posture optimising cost-per-token instead of outcomes | | **1 · Assisted** | you + one agent | **~1 agent**, synchronous, you read nearly every change | **your attention.** Low trust and no self-verification, so you watch instead of moving on | | **2 · Parallel** | you orchestrate | **~5–10 agents**, isolated checkouts, agent checks its own work first | **review throughput.** You're checking six streams instead of writing one | | **3 · Supervised autonomy** | man