An open-source tool now finishes in seconds what demands academic professionals hours. Feynman is a collective reasoning toolset that launches directly via your CLI. Input a question. It parses datasets, aggregates data, confirms all citations, and outputs a highly
TOOLS
-
Build macOS apps with Codex plugin tool
By
–
Build macOS apps with our Codex plugin: Thomas Ricouard (@Dimillian) x.com/i/article/204150862780… — https://nitter.net/Dimillian/status/2041948910512652313#m
→ View original post on X — @ceobillionaire, 2026-04-09 22:30 UTC
-
New Emergent Capabilities Discovered in Muse Spark
By
–
cool to see people finding new emergent capabilities within Muse Spark! https://t.co/mFBJAWhja8
— Alexandr Wang (@alexandr_wang) 9 avril 2026cool to see people finding new emergent capabilities within Muse Spark!
-
Muse Spark Creates Game Example on Design Arena Platform
By
–
— AI at Meta (@AIatMeta) 9 avril 2026
4/ nitter.net/Designarena/status/204… Design Arena (@Designarena) See an example of a game that Muse Spark created at designarena.ai/tournaments/5… — https://nitter.net/Designarena/status/2042031588591190459#m
-
TypeScript Performance: Simplifying Build Without Native Dependencies
By
–
TS felt simpler if we could make it fast — no napi, no native builds, no per platform vendoring
-
Claude Code introduces fileSuggestion setting for large codebases
By
–
But in big codebases, it would fall over. So we introduced a new fileSuggestion setting in Claude Code, so customers with large codebases could plug in their custom code index (using SourceGraph, an in-house index, etc.). https://
code.claude.com/docs/en/settin
gs#file-suggestion-settings
… -
Porting Rust NAPI File Indexer to Native TypeScript with Opus
By
–
To simplify our system, I asked Opus to port the file indexer to native TypeScript. Here's the prompt I used: > compile our rust+napi file index to native ts. compile the code over, and make sure the code perfectly passes the ORIGINAL test suite from the package. then profile
-

Claude Code @-mentions Performance Tripled for Enterprise Codebases
By
–
Just got a nice DM from a big enterprise customer using Claude Code in one of the world's biggest codebases Here's how we made @-mentions 3x faster in large enterprise codebases
-
Custom Rust File Indexer for Claude Code @-mentions via NAPI
By
–
To power file @-mentions in Claude Code, we used to use a custom Rust-based file indexer that we invoked from Claude Code via NAPI. It was pretty fast.
-
Top AI Models by Use Case – 2026 Rankings
By
–
Top Models Per Use Case Coding – Codex 5.3 – SeeDance 2.0! now generally available Voice – Gemini Flash Live Image – Nano Banano Pro Everyday use – GPT 5.4 Claw – m2.7 Fast – Grok 4.2 Agentic – Opus 4.6 Cheap agentic – GLM 5.1 OCR – Gemini Flash Codex is actually very good… realizing this a bit too late
