LuckyD Code – AI coding assistant that self-verifies every edit
LuckyD Code is an AI coding assistant designed to self-verify edits before deployment. It features a smart routing system that selects the appropriate model tier for different prompts and includes a code knowledge graph for semantic search. The tool also offers a rich CLI and web interface, along with built-in analytics and security features.
- ▪LuckyD Code automatically verifies every write or edit it makes.
- ▪It includes a code knowledge graph that allows for semantic and keyword searches across the codebase.
- ▪The assistant operates in both a terminal and browser environment, providing flexibility for users.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,814 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/Dylanchess0320/LuckyD-Code |
| Publication time | Tue, 26 May 2026 17:11:48 +0000 |
| Retrieval time | 2026-05-26T17:22:50.259Z |
| Last seen | 2026-05-26T17:22:50.259Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | SgeXdORh9kG7 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
LuckyD Code The AI coding assistant that thinks before it ships. Terminal-native · Browser-ready · DeepSeek-powered ✨ Why LuckyD Code? LuckyD Code Other Assistants 🧠 Reasoning-first Self-verifies every write/edit automatically Hope the LLM gets it right 🔀 Smart routing Picks the right model tier per prompt Same model for everything 🗺️ Code Knowledge Graph Indexes your codebase; semantic + keyword search Blind to your project 🕸️ Web + Terminal Full CLI and browser UI from the same binary CLI-only or browser-only 🔒 Sandboxed Docker-isolated command execution Raw shell access 📊 Analytics Built-in code health, smell detection, trend tracking None 🔧 Autonomous Fixer Diagnoses bugs → generates patches → validates → opens PR Manual triage 🚀 Quick Start Prerequisites Python 3.10+ –…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.