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2026 07 17 Game Developer 0111

Slice game-developer/0111 · Level 0111 (API Development) · Adventurer tier · Engine verdict ❌ fail (avg 66.2%) · Walked 2026-07-17

🔗 Perfection run · 🏠 Perfection dashboard · 📄 Raw report · 🕘 Change history

🎯 Session Summary

I walked the first window (5 of 10 quests) of the Game Developer → Level 0111 (API Development, Adventurer ⚔️) slice as a learner, consuming the workflow-sealed execute-mode evidence and reading every quest source in plan order to reason about the linked journey. The headline verdict is fail: the engine averaged 66.2% with 2 pass, 1 warn, 2 fail, and the two failing quests are broken in ways a real beginner would hit within the first five minutes of the hands-on work.

The slice is really two unrelated learning tracks braided together by the dependency-sorter: a polished API Design Mastery pair (API Fundamentals → REST Principles) and a GH-600 Agentic Codex trio. Within the agentic trio, the well-built hub quest (agentic-codex-01, 95%) teaches plan-then-act cleanly with a self-contained lab, while the two sibling quests that drill the same Domain 1 sub-skills (agentic-sdlc-integration 44%, agentic-plan-vs-action-boundaries 38%) both send the learner into a work/gh-600/ scaffold and a scripts/validate_quest.py self-check that do not exist in the repo — I verified both absences directly. The maintainer-actionable takeaway: the API pair is solid, and the agentic content already has a working reference (the codex hub) whose lab pattern should replace the broken scaffold assumptions in its two siblings.

🗺️ The Journey

Plan order (dependency-sorted; walk-plan.json):

  1. ⚠️ API Fundamentals: HTTP, Requests, and JSON — 74 — Accurate and runnable, but the Python example ModuleNotFoundErrors out of the box because pip install requests is never mentioned for a "start from zero" quest.
  2. ✅ Initiation Rites: Agents in the SDLC (codex hub) — 95 — Every runnable snippet parsed/ran; the gh lab is correctly gated and syntactically sound. The strong reference implementation of this domain.
  3. ✅ REST Principles: Resources, Statelessness, and Maturity — 80 — Conceptually accurate; nearly all snippets are live-network curl calls that the sandbox couldn't run, and the stated "Idempotency and Safety" objective is never taught.
  4. ❌ Initiation Rites: Embedding Agents in the SDLC — 44 — Both setup blocks dead-end at cd it-journey/work/gh-600 (directory absent); the closing validate_quest.py self-check doesn't exist.
  5. ❌ The Three Sigils: Plan, Reason, Act — 38 — Same missing scaffold/validator, plus mis-tagged closing code fences corrupt roughly two-thirds of the rendered page.

🔬 Evidence

All results below are from the workflow's sealed walk-evidence.json (execute mode, mock: false), corroborated where noted by my own read-only repo checks. I did not re-run the engine.

1. API Fundamentals — 74 (⚠️ warn) · ran 8/10 runnable snippets (7✓ 1✗), 3 reasoned

  • docker run --rm curlimages/curl:latest .../posts/1 → passed, returned the exact documented JSON object.
  • curl -X POST .../posts -H "Content-Type: application/json" -d '{...}' → passed, 201 Created with assigned id: 101.
  • curl -s -o /dev/null -w "%{http_code}" .../posts/9999 → passed, 404 as documented.
  • curl -s .../posts/1 | jq '.title' → passed.
  • JavaScript fetch snippet via node -e (Node v20.20.2) → passed, printed 200 then the title.
  • Python requests snippet → failed: ModuleNotFoundError: No module named 'requests' on a fresh interpreter; only worked after the walker manually ran pip install requests. The quest's prerequisites call Python "optional" and never install the package.
  • macOS/Windows/Linux platform blocks → reasoned/skipped (OS-specific; sudo/brew/winget not runnable on the Ubuntu sandbox; package IDs verified correct). Note: dockerized curl -v showed HTTP/2 200, not the HTTP/1.1 200 OK the illustration prints.

2. Initiation Rites: Agents in the SDLC (codex hub) — 95 (✅ pass) · ran 7 snippets (7✓), 1 reasoned, 4 skipped

  • Task-contract YAML, .github/copilot-instructions.md, both plan-then-act.yml workflows, scripts/agent-trace.sh, and the graph LR mermaid all passed (parsed/executed as documented).
  • The gh CLI lab steps (Steps ⅓/⅘ — create/mutate/delete a real repo) were correctly skipped as unsafe/stateful; they check out syntactically. trace.jsonl expected output was reasoned.
  • Only soft spots: the unverifiable "18% of the exam" GH-600 claim and a missing caveat that agent-trace.sh needs an Actions runner context ($GITHUB_STEP_SUMMARY) to run standalone.

3. REST Principles — 80 (✅ pass) · ran ⅙ runnable snippets (1✓), 2 reasoned, 6 skipped

  • HATEOAS example JSON validity → passed (checked against mock data).
  • Every curl ... api.github.com / jsonplaceholder call → skipped: network- and curl-restricted sandbox. jq filter logic was confirmed separately and is correct.
  • Reasoned: the RPC-vs-resource URL table and the Authorization: Bearer raw-HTTP block are accurate.

4. Initiation Rites: Embedding Agents in the SDLC — 44 (❌ fail) · ran 7 snippets (4✓ 3✗)

  • All three Mermaid diagrams and the dependency-updater.yml task card → passed (render/parse correctly).
  • git clone ... && cd it-journey/work/gh-600 && python3 -m pip install pyyaml → failed (bash) and the PowerShell twin → failed: work/gh-600/ does not exist in the cloned repo. Corroborated: my own ls work/gh-600 in the repo returns absent. Every subsequent exercise writes into work/gh-600/notes|task-cards|diagrams/, so the whole hands-on path is stranded at step one.
  • python3 scripts/validate_quest.py --quest q1 → failed: script absent. Corroborated: find . -name validate_quest.py returns nothing. The documented "🏆 Quest Q1 complete!" output is unreachable.

5. The Three Sigils: Plan, Reason, Act — 38 (❌ fail) · ran 5 snippets (3✓ 2✗), 2 reasoned, 2 skipped

  • .github/copilot-instructions.md creation, saving the JSON Schema, and agent-plan-gate.yml creation → passed (the JSON Schema itself is technically correct).
  • pip install jsonschema && python3 -c "...validate(plan, schema)" → failed: reads work/gh-600/sample-plan.json, which is never created (and lives under the absent work/gh-600/).
  • python3 scripts/validate_quest.py --quest q2 → failed: same missing script as quest 4.
  • Rendering defect I witnessed directly in source: closing code fences carry a language tag instead of a bare ```, so nested blocks are mis-nested — line 178 (```markdown), line 200 (```bash), line 235 (```text), line 249 (```bash), line 316 (```bash), line 347 (```markdown). This swallows roughly two-thirds of the page into runaway code blocks. Schema path is also inconsistent: Chapter 3 saves to work/gh-600/schemas/agent-plan.json but the Chapter 4 workflow reads .github/schemas/agent-plan.json.

🐞 Issues Found

  • high · The Three Sigils (agentic-plan-vs-action-boundaries.md) · Chapter ⅔/4 code fences (lines 178, 200, 235, 249, 316, 347) · Observed: closing fences carry a language tag (```markdown, ```bash, ```text), which mis-nests blocks and corrupts ~two-thirds of the rendered page. · Fix: close every block with a bare ```; use a 4-backtick outer fence when a block itself contains a nested fence.
  • high · Embedding Agents in the SDLC (agentic-sdlc-integration.md) · "Choose Your Adventure Platform" macOS/Linux + PowerShell blocks · Observed: cd it-journey/work/gh-600 fails — the directory is absent from the repo (verified ls). Strands every later exercise. · Fix: have the learner mkdir -p work/gh-600/{notes,task-cards,diagrams,schemas}, or commit an actual work/gh-600/ scaffold.
  • high · Both agentic quests · "Quest Validation" sections · Observed: python3 scripts/validate_quest.py --quest q1|q2 fails — the script does not exist anywhere (verified find). The documented completion output is unreachable. · Fix: commit the validator, or replace the section with a manual file-existence checklist / the jsonschema checks already shown.
  • high · The Three Sigils · Chapter 3 validation snippet · Observed: python3 -c "...json.load(open('work/gh-600/sample-plan.json'))..." fails — sample-plan.json is never created. · Fix: add an explicit step that writes a valid sample-plan.json before the validate call.
  • medium · API Fundamentals (api-fundamentals.md) · Chapter 3 Python snippet · Observed: ModuleNotFoundError: No module named 'requests' on first run. · Fix: add pip install requests before the example and list it in System Requirements — a "start from zero" quest can't assume a third-party package.
  • medium · The Three Sigils · Chapter 3 vs Chapter 4 schema path · Observed: plan saved to work/gh-600/schemas/agent-plan.json but the workflow reads .github/schemas/agent-plan.json. · Fix: use one consistent path across chapters.
  • medium · REST Principles (rest-principles.md) · Secondary objective "Idempotency and Safety" · Observed: listed as an objective but never taught in the body. · Fix: add a short section, or drop the objective.
  • medium · The Three Sigils · Chapter 4 github-script step · Observed: github.rest.issues.createComment uses context.issue.number, but the workflow triggers on push (no issue/PR context). Also actions/GitHub-script@v7 should be lowercase actions/github-script@v7. · Fix: trigger on pull_request, or write to the job summary instead.
  • low · API Fundamentals · Chapter 1 raw-HTTP illustration · Observed: curl -v against the endpoint negotiates HTTP/2 200, not the printed HTTP/1.1 200 OK. · Fix: update the illustration or add a one-line HTTP/2 caveat.
  • low · REST Principles · unauthenticated api.github.com examples (5 call sites) · Observed: silent about the 60-req/hr unauthenticated rate limit. · Fix: add a one-line rate-limit note.
  • low · Embedding Agents in the SDLC · Legend ("80% of failed agent deployments…") · Observed: uncited statistic presented as fact. · Fix: cite a source or mark it clearly as in-universe lore.

🔗 Chain Continuity

  • Two braided tracks, one window. The planner dependency-sorted the slice, but it interleaves two independent series: API Design Mastery (api-fundamentals → rest-principles, quest_line: The Gatekeeper's Road) and The Agentic Codex / GH-600 (the three agentic quests). A learner walking these five in order context-switches between "how HTTP works" and "how to bound a Copilot agent" with no bridging narrative. This is a windowing artifact (window 1 of 2, stats.total_quests: 10), not a quest-authoring bug — worth flagging so a maintainer reading only this report doesn't expect a single throughline.
  • The API pair holds together well. rest-principles correctly lists api-fundamentals as a required_quest, opens by explicitly referencing it ("You have learned to speak HTTP in the API Fundamentals quest"), and reuses the same curl/jq toolchain. A learner finishing quest 1 is genuinely ready for quest 3. The one hand-off crack: quest 1's Python example fails to install requests, so a learner who chose the Python path never actually completed a working call before REST asks them to keep using the tools.
  • The agentic trio has a working reference its siblings ignore. agentic-codex-01 (95%) and agentic-sdlc-integration/agentic-plan-vs-action-boundaries (44/38%) teach the same Domain 1 sub-skills (bounded agents, plan-then-act, observability). The hub quest does it right — a self-contained gh-CLI lab that scaffolds its own repo — while the two granular quests assume a pre-existing work/gh-600/ scaffold and a validate_quest.py that were never committed. The fix already exists in the slice: port the hub's self-scaffolding lab pattern into its two siblings.
  • Prerequisite wiring is inconsistent across the trio. agentic-sdlc-integration lists rest-principles as a recommended prerequisite (an odd cross-track link), and both granular quests say "Completed Q1" while agentic-codex-01 presents itself as the Domain 1 entry point — three quests each claiming to be the front door of Domain 1. A learner can't tell whether to start at the codex hub or at agentic-sdlc-integration.
  • Character mismatch (low). Nothing in the slice is game-developer-specific; Level 0111's theme is API Development shared across classes. api-fundamentals's own "Character Class Recommendations" list Software Developer / System Engineer / Security Specialist but not Game Developer — a learner on this path sees no tailored next-step guidance.

🧠 Reasoning & Method

  • Mode: execute. I consumed the workflow-sealed walk-evidence.json / walk-evidence.md (produced by agentic_validate.py --mode execute, mock: false, 5/5 scored, avg 66.2%, ~$3.85). Per the skill, engine execution (step 2) was already done by the workflow; I did not re-run or modify it, and I did not edit walk-plan.json or the evidence files.
  • What I ran vs. reasoned: the passed/failed verdicts above are commands the engine actually ran in its disposable sandbox. I independently corroborated the two highest-impact failures with read-only host checks — ls work/gh-600 (absent) and find . -name validate_quest.py (absent) — and I directly witnessed the mis-tagged fences in agentic-plan-vs-action-boundaries.md source. Everything else labeled reasoned/skipped was judged statically (OS-specific installs, network curl calls the sandbox blocked, stateful gh repo lab steps).
  • Coverage limits: the engine could not run network calls or the sudo/brew/winget/gh lab steps, so REST Principles was validated almost entirely by reasoning (⅙ runnable snippets executed) — its 80 is a content-accuracy score, not a proof its live examples work end-to-end today. This is window 1 of 2 (5 of 10 quests); the second half of Level 0111 is not covered here.
  • Confidence: high on the two fail verdicts (broken commands reproduced + missing files independently confirmed + rendering defect visible in source); medium on REST Principles (accurate but largely unexecuted); high on the API Fundamentals requests gap (reproduced verbatim by the engine).
  • Scope discipline: read-only over all quest content; my only write is this report under test/quest-validator/walkthroughs/. No branch, commit, push, or merge — the workflow handles git.

Machine evidence (verbatim excerpt)

5 quests evaluated · ✅ 2 pass · ⚠️ 1 warn · ❌ 2 fail · avg 66.2% · ~$3.8497

Score Quest Snippets
⚠️ 74 API Fundamentals: HTTP, Requests, and JSON 8/10 (1✗)
✅ 95 Initiation Rites: Agents in the SDLC 7/5
✅ 80 REST Principles: Resources, Statelessness, and Maturity ⅙
❌ 44 Initiation Rites: Embedding Agents in the SDLC 7/3 (3✗)
❌ 38 The Three Sigils: Plan, Reason, Act 5/1 (2✗)