Claude Watch

D 51 completed
Other
unknown / c · tiny
44
Files
4,796
LOC
0
Frameworks
6
Languages

Pipeline State

completed
Run ID
#1543272
Phase
done
Progress
0%
Started
2026-04-16 21:57:53
Finished
2026-04-16 21:57:53
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
33.04
Framework unique
Isolation
Last stage change
2026-05-10 03:34:40
Deduplication group #47402
Member of a group with 513 similar repo(s) — canonical #1443114 view group →
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AI Prompt

Create a firmware project for an ESP32-S3 microcontroller using PlatformIO. This device needs to monitor Anthropic API usage in real time and display it on a 1.28" round touch display. The system must handle initial WiFi provisioning by displaying a QR code for AP credentials. After connecting to WiFi, it needs an OAuth flow to log into Anthropic using a web interface accessible at `http://<device-ip>`. The main display should cycle through views, including a 'Values View' showing usage percentages (e.g., 5h: 12%, 7d: 23%) and a settings page to manage WiFi credentials, timezone, and the API fetch interval. Include necessary build commands like `make build` and `make flash`.
c esp32 platformio firmware iot anthropic display wifi embedded
Generated by gemma4:latest

Catalog Information

Create a firmware project for an ESP32-S3 microcontroller using PlatformIO. This device needs to monitor Anthropic API usage in real time and display it on a 1.28" round touch display. The system must handle initial WiFi provisioning by displaying a QR code for AP credentials. After connecting to WiFi, it needs an OAuth flow to log into Anthropic using a web interface accessible at http://<device-ip>. The main display should cycle through views, including a 'Values View' showing usage percenta

Tags

c esp32 platformio firmware iot anthropic display wifi embedded

Quality Score

D
50.8/100
Structure
45
Code Quality
53
Documentation
60
Testing
0
Practices
70
Security
90
Dependencies
80

Strengths

  • Consistent naming conventions (snake_case)
  • Good security practices — no major issues detected

Weaknesses

  • No LICENSE file — legal ambiguity for contributors
  • No tests found — high risk of regressions
  • No CI/CD configuration — manual testing and deployment
  • Potential hardcoded secrets in 1 files
  • 391 duplicate lines detected — consider DRY refactoring
  • 3 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite — start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)
  • Move hardcoded secrets to environment variables or a secrets manager

Languages

c
90.7%
markdown
3.1%
html
2.5%
python
1.7%
text
1.6%
ini
0.3%

Frameworks

None detected

Symbols

function181
macro74
enum3
struct3
constant2
variable2
type_alias1

Quality Timeline

1 quality score recorded.

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