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Arxitect – Claude Code plugin for software design principles

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Arxitect – Claude Code plugin for software design principles

Show HN: Arxitect – Claude Code plugin for software design principles Modern coding agents are getting exceptionally good at implementing a given coding task. And with validation-in-the-loop, you can be reasonably confident they will implement a correct solution. However, their implementation often leaves a lot to be desired. It doesn't adhere to the decades of software design best-practices that the community has established and is often myopic to broader software quality attributes like maintainability and extensibility. To make things worse, this low code quality compounds as coding agents implement additional tasks. These design principles weren't established specifically to help humans...they were designed to make code easier to refactor, modify, extend, test, and maintain! And these properties matter just as much in an agentic world. Design principles significantly reduce the amount of context humans or agents need to understand a codebase or implement a feature. They reduce the surface area for bugs, improve testing efficacy, and just generally make humans and agents more effective at building software. This has been my biggest reservation for using coding agents on larger and more unstructured tasks, so I built Arxitect. I was inspired by the design of [Superpowers]( https://github.com/obra/superpowers ) and decided to extend that concept to software design principles. Currently, it contains implementation and code review agents (and skills) that asses your code for: *API Design - Assessing naming conventions, method signatures, parameter design, type safety, and REST endpoint design. *Object Oriented Design - Assessing SOLID principles, DRY violations, composition vs. inheritance choices, and design pattern applicability. *Clean Architecture - Assessing component cohesion, component coupling, and quality attributes like maintainability, extensibility, and testability. Install in Claude Code with: /plugin marketplace add andonimichael/arxitect /plugin install arxitect@arxitect /reload-plugins I welcome any feedback, advice, or PRs at: https://github.com/andonimichael/arxitect

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor
94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: code review, ide, io · Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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