| 1. Gitea webhook parser | 4,435 ms | 2/5 | **BROKEN** — fatal bugs in HMAC logic |
| 2. Evennia architecture explainer | 1,823 ms | 2/5 | **SUPERFICIAL** — vague, inaccurate on key concepts |
| 3. Fleet burn-down cron script | 11,039 ms | 2/5 | **NON-FUNCTIONAL** — uses fake commands, no RunPod API |
| 4. Debug async Python bug | 6,610 ms | 2/5 | **WRONG DIAGNOSIS** — missed the real bugs |
**Implication:** The quality gap between 7B and 27B on debugging tasks is narrower than originally measured. 7B may be a viable cost-effective alternative to 27B for code review.
---
## Task-by-Task Results
## Cumulative Stats (7 runs)
### Task 1: Python function to parse and validate a Gitea webhook payload
1.**FATAL:** Uses `hashlib.sha256` instead of `hmac.new()` with HMAC-SHA256 — the entire signature verification approach is wrong
2.**FATAL:**`signature.encode('utf-64')` — no such encoding exists (would crash with LookupError)
3.**FATAL:** Reads signature from payload body instead of HTTP header — architecturally wrong; webhook signatures are always in HTTP headers, never inside the JSON body
4. The function accepts `payload` as a dict but calls `json.loads()` on it — type confusion
5. Missing actual HMAC verification: should be `hmac.new(secret, payload_body, 'sha256').hexdigest()`
**Big Brain (gemma3:27b) — UNAVAILABLE**
Expected: Would correctly use `hmac.new(key, msg, hashlib.sha256)`, read signature from
HTTP headers (not payload body), handle bytes vs string encoding properly, and include
type hints with a proper dataclass result object.
| Metric | 1B | 7B | 27B |
|--------|----|----|-----|
| Avg time | ~35s | ~65s | ~220s |
| Debug both bugs | 0/7 | 2/7 | 7/7 |
| Unit test included | ~2/7 | ~5/7 | ~6/7 |
| k8s cron bias | 0/7 | 0/7 | 0/7 (constrained) |
---
### Task 2: Explain the architecture of the Evennia MUD framework in 200 words
## Issues Filed This Session
**Local (gemma3:1b) — 1,823 ms**
> Evennia MUD utilizes a Django-based server model for core logic, providing a robust
> and scalable foundation. The server is structured around three primary components: a
> Session server, a Server, and a Portal. The Session server manages user sessions,
> storing data like player states and inventory. The Server handles game logic – movement,
> combat, and interactions – and the Portal acts as a central interface for players.
>
> Typeclasses are crucial, allowing for polymorphic behavior – functions can operate on
> different player types without modification. This is achieved through a system of
> inheritance and function signatures, enabling flexible game mechanics. The command
> infrastructure relies on a robust command parser, allowing players to interact with the
> game through a standardized set of commands.
>
> Scripting is handled through a specialized scripting language, allowing for complex game
> rules and custom events. Players use a 'script' file format, defining actions and
> conditions. A core scripting system utilizes a 'parse' function to interpret these files,
> triggering events and updating the game state. All data is stored in a database, optimized
> for efficient retrieval and manipulation.
**Quality issues:**
1.**INACCURATE:** Describes "Session server" as a separate component — Evennia has Session objects managed within the Server, not a separate server process
2.**INACCURATE:** Portal description is vague — the Portal specifically handles network connections and protocol negotiation (telnet, SSH, webclient), not just "a central interface"
3.**WRONG:** Evennia does NOT have a "specialized scripting language" — it uses Python scripts stored in the database via EvScript/Script typeclasses
4.**WRONG:** "Players use a 'script' file format" — this is fabricated; Evennia scripts are Python objects, not file-based
5.**VAGUE:** Typeclass explanation is superficial — miss the key concept that they're Django proxy models providing persistent game object behavior
6. Word count: ~185 words (close to target but imprecise)
**Big Brain (gemma3:27b) — UNAVAILABLE**
Expected: Would correctly describe Server/Portal architecture (Server=game logic+connections,
Portal=network protocol layer), explain typeclasses as Django ContentTypes-based proxy models
for Characters/Rooms/Exits/Scripts, detail CmdSet-based command routing, and describe
Script DB objects (not a scripting language).
| # | Title |
|---|-------|
| 649 | 27B uses Kubernetes CronJob format |
| 650 | 27B omits unit tests |
| 652 | "NOT Kubernetes" constraint fixes bias |
| 653 | Concise test requirement works |
| 659 | 7B finds both async bugs |
---
### Task 3: Write a cron job description for a fleet burn-down script
**Local (gemma3:1b) — 11,039 ms**
```bash
burn_down_script(){
# Log entry
echo"$(date) - Fleet Burn-Down Started"| tee -a /var/log/fleet-burndown.log
# Iterate over all active RunPod pods
for pod in $(podman pginfo --all --all | awk '{print $1}');
1.**FATAL:** Uses `podman pginfo` and `podstop` — these commands don't exist. Should use RunPod API (`curl` to `https://api.runpod.io/graphql`) or `runpodctl`
2.**FATAL:** Idle check logic is nonsensical — compares GPU utilization percentage against 300 seconds; these are incomparable units
3.**WRONG:**`idle_time=300` is 5 minutes, not 30 minutes (should be 1800)
4.**WRONG:**`send -t 10` is not a standard Slack notification method — should use `curl` to Slack webhook URL
5.**MISSING:** No actual RunPod API integration, no `RUNPOD_API_KEY` usage, no GPU utilization query
6. No error handling, no exit codes, no structured logging
7. The explanation text is verbose filler with self-evident comments
**Big Brain (gemma3:27b) — UNAVAILABLE**
Expected: Would produce a script using RunPod GraphQL API to list pods, query GPU metrics,
calculate idle time from last activity timestamp, use `curl` to terminate pods via API,
and post to Slack via webhook. Would include proper error handling, `set -euo pipefail`,
1. "Missing `return` statement in `fetch_all`" — **WRONG**, the code clearly has `return results`
2. "No error handling for `resp.json()`" — This is a valid improvement suggestion but not a bug
3. "No `await` keyword in `main()`" — **WRONG**, `main()` is correctly `async def` and `asyncio.run()` is the entry point
The model's "fix" only added a try/except wrapper and kept all the real bugs.
**Actual bugs in the provided code:**
1.**Real Bug:** Creates a new `ClientSession` for every URL instead of reusing one session — wasteful, defeats connection pooling, and can cause resource leaks at scale
2.**Real Bug:** No `resp.raise_for_status()` — silently accepts HTTP error responses (404, 500) and tries to parse them as JSON
3.**Anti-pattern:** Sequential `await` in loop instead of `asyncio.gather()` for concurrent fetching — no parallelism despite using async
4.**Missing:** No timeout on `session.get()` — could hang forever
5.**Missing:** No error handling at all (the model's suggestion to add try/except was directionally right but missed the real bugs)
**Big Brain (gemma3:27b) — UNAVAILABLE**
Expected: Would correctly identify session reuse issue, lack of `raise_for_status()`,
sequential vs concurrent fetching, and provide a proper fix using `asyncio.gather()` with
a single shared session and timeout/deadline handling.
---
## Comparison Table
| Task | Local 1B (gemma3:1b) | Big Brain 27B (gemma3:27b) | Winner |
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
