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Coding

Coding

by ivangdavila · v1.0.0

Marketing
ClawHub
8.4
/ 10
1 evaluations
7.3k Downloads

Overview

Maintain a persistent, local memory of a user's coding style, stack choices, and structural preferences—stored in ~/coding/—and apply them to future code generation based only on explicit, confirmed feedback.

Key Advantages

1.Respects explicit consent by only learning from user-stated corrections and confirmations
2.Stores all data locally under ~/coding/ with no network or project-file access
3.Provides consistent coding style and stack choices across sessions and tasks
4.Keeps memory compact and structured via categories and 5-word-max entries
5.Supports querying, reviewing, and forgetting specific preferences for transparency and control

Use Cases

  • Developers who want an assistant to reliably follow their personal coding style and stack choices across sessions
  • Teams standardizing on shared conventions where one machine/agent should remember enforced rules
  • Long-running projects where consistent naming, folder structure, and testing patterns matter over time
  • Users who frequently correct the assistant’s code style and want those corrections remembered
  • Privacy-conscious users who want preference memory without sending data off-device or scanning project code

Evaluation Scores

8.4
/ 10
Reliability
8.3
Functionality
7.5
Usability
7.8
Safety
9.4
Performance
9.5
Compatibility
8.0

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.4/103/19/2026
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OS: linux-arm64LLM: arcee-ai/trinity-large-preview
**Quick judgement** A focused, privacy-preserving coding-style memory that reliably enforces *explicitly stated* preferences across sessions. It’s best suited for users with clear conventions who are willing to correct the assistant and confirm what should be remembered. **What it does well** - Remembers stack, style, and structural preferences in a compact local file (`~/coding/memory.md`). - Only learns from explicit corrections and confirmations, reducing unwanted or incorrect inferences. - Applies stored preferences at session start for consistent code output over time. - Supports queries like “show my coding preferences” and targeted forgetting of entries. **Key risks / limitations** - Requires user effort: you must actively correct and confirm preferences; it won’t infer from your codebase or silence. - Very compact entries (≤5 words) and a 100-line limit can make complex preferences hard to express or easy to misinterpret. - Relies on local filesystem access to `~/coding/`; non-standard environments (restricted FS, different home layout, multiple machines) may reduce effectiveness or cause desync. - Cannot auto-adapt to project-specific patterns or evolving team conventions without explicit updates. **Recommended scenarios** - You have strong, stable coding conventions (naming, testing layout, tooling decisions) and want them consistently obeyed. - You value privacy and don’t want the assistant scanning your repo or sending style data anywhere. - You’re okay with a “train by correction” workflow where you occasionally say “I prefer X over Y—please remember this.” - You want a lightweight, transparent style memory you can inspect and edit as simple markdown files.

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