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peteromallet/desloppify

Agent harness to make your slop code well-engineered and beautiful.

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Summary Information

Updated 38 minutes ago
Type:Library / SDKCategory(s):AI Coding AgentsCode Quality & Static AnalysisAI Agents & LLM Apps
Added to GitGenius on September 22nd, 2026
Created on February 11th, 2026
Open Issues & Pull Requests: 155 (+0)
GitHub issues: Enabled
Number of forks: 251
Total Stargazers: 3,153 (+0)
Total Subscribers: 12 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.9 hours
Mean response time: 4.5 days
90th percentile: 29.7 days
Tracked items: 356

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How this project is maintained

About 9% of issues opened in the past year have never received a reply. 98% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "typescript" is answered fastest, typically in under an hour, while "release:v1.0" waits about 2 weeks. 16% of tracked open issues have had no activity in three months. 89% of issues opened in the past year have been closed, leaving a working backlog.

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Issue Activity (beta)

Open issues: 46
New in 7 days: 12
Closed in 7 days: 0
Avg open age: 48 days
Stale 30+ days: 24
Stale 90+ days: 7

Recent activity

Opened in 7 days: 12
Closed in 7 days: 0
Comments in 7 days: 1
Events in 7 days: 1

Top labels

  • release:v1.0 (46)
  • enhancement (20)
  • typescript (11)
  • cross-language (8)
  • revisit (8)
  • bug (4)
  • release:v0.9.13 (4)
  • agent:dev-1 (2)

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Detailed Description

Desloppify is an agent harness that transforms poorly written code into well-engineered and maintainable implementations.

The tool addresses the problem of dealing with hastily written, low-quality code by using an AI agent framework to systematically refactor and improve it. Rather than requiring manual rewriting, the harness automates the process of analyzing code quality issues and applying engineering best practices to produce cleaner, more maintainable results.

Developers working with legacy codebases, rapid prototypes, or code that has accumulated technical debt would find this tool useful. It suits projects where code quality has degraded over time or where initial implementations prioritized speed over structure. The tool is particularly relevant for teams that want to improve code without extensive manual refactoring effort.

The project shows active development with regular commits and ongoing refinement of its agent-based approach to code transformation.