Show HN: LLM-assisted reconstruction of partially decompiled Minecraft 26.1.2
demcstify is a research project that uses LLM agents to reconstruct decompiled Minecraft 26.1.2 code into a fully buildable and bytecode-equivalent form without distributing any copyrighted material. The process runs locally, with users providing the original game JAR and retaining all outputs on their own machines. The project emphasizes legal compliance, using a deterministic bytecode oracle to validate reconstructions while maintaining strict separation between roles in the repair workflow.
- ▪demcstify does not host or distribute any Minecraft source code, assets, or binaries.
- ▪Users must supply their own legitimate copy of Minecraft 26.1.2 JAR to use the tool.
- ▪Reconstructed source code is validated against a bytecode oracle to ensure equivalence with the original classes.
- ▪The system uses a multi-agent LLM approach coordinated via a relational database for state tracking.
- ▪All build outputs and repaired sources remain local to the user's machine and are not shared.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,316 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/stevefan1999-personal/demcstify |
| Publication time | Wed, 29 Apr 2026 08:28:32 +0000 |
| Retrieval time | 2026-04-29T08:31:52.291Z |
| Last seen | 2026-04-29T08:31:52.291Z |
| 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 | 12o0H8B9i6F2 |
| 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
demcstify Research project: LLM-assisted reconstruction of partially decompiled Minecraft 26.1.2 sources into fully buildable, runnable, bytecode-equivalent local client and server artifacts. demcstify is not a Minecraft source distribution. It is a reconstruction lab: a set of documents, scripts, Gradle build logic, database schema, and evaluator tools that coordinate LLM agents against a deterministic bytecode oracle. The user's machine supplies the original JAR, performs the reconstruction, and keeps all reconstructed source and build outputs local. Legal Stance — Read Before Doing Anything This repository contains no Minecraft game files and no reconstructed Minecraft source code.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.