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✨ Gleam
Actor Model, Erlang VM, Type Safety, Pattern Matching
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80188
posts in
776.9
ms
DeepChopper
model improves RNA sequencing research by mitigating
chimera
artifacts
phys.org
·
11h
📋
JSON Parsing
isledb
: An
embedded
key-value engine built on object storage in Go
reddit.com
·
1d
·
Discuss:
r/golang
🐹
Go Internals
SHINE: A Scalable In-Context
Hypernetwork
for Mapping Context to
LoRA
in a Single Pass
arxiv.org
·
1d
☁️
Distributed Parsing
Building Highly Efficient Inference System for
Recommenders
Using
PyTorch
pytorch.org
·
4d
·
Discuss:
Hacker News
🌪️
V8 TurboFan
Building a RAG-Based AI Chatbot
Backend
with Node.js (
Serverless
)
dev.to
·
13h
·
Discuss:
DEV
🎮
Language Ergonomics
Adaptive
Protein
Tokenization
arxiv.org
·
1d
🔤
Language Tokenizers
Show HN: EU AI Act
Layer
x-loop3.com
·
13h
·
Discuss:
Hacker News
🌉
Language Bridges
How I Built My Project in
Haskell
dev.to
·
2d
·
Discuss:
DEV
🌱
Minimal Languages
ByteDance
Seed
seed.bytedance.com
·
1d
🗺️
Region Polymorphism
Electrobun
v1: Build fast, tiny, and cross-platform desktop apps with
TypeScript
blackboard.sh
·
1d
·
Discuss:
Hacker News
📦
Monorepos
hsutter/cppfront
: A personal experimental C++ Syntax 2 -> Syntax 1 compiler
github.com
·
22h
🪄
C Metaprogramming
feldera/feldera
: The
Feldera
Incremental
Computation Engine
github.com
·
2d
🚂
Cranelift IR
The many
masks
LLMs
wear
understandingai.org
·
18h
·
Discuss:
Hacker News
🎲
Parser Fuzzing
Mastering
Authentication
in MCP: An AI Engineer’s Comprehensive Guide
pub.towardsai.net
·
1d
🔗
Hash Functions
Building Smarter AI: 16 RAG
Approaches
for
Accuracy
, Memory, and Reasoning
mvineetsharma.medium.com
·
13h
🧠
Semantic Parsing
Show HN:
Molinar
– Open-source alternative to ai.com (
AGPL-3.0
)
business.molinar.ai
·
1d
·
Discuss:
Hacker News
🔄
Incremental Parsers
CasDoc
: Intelligent
spec
workspace for builders
producthunt.com
·
11h
🎭
Program Synthesis
Power
Automate
powerdevbox.com
·
1d
·
Discuss:
DEV
💬
Interactive REPLs
Designing
a Cost-Efficient
Agentic
System
p.agnihotry.com
·
15h
·
Discuss:
Hacker News
🎭
Program Synthesis
LLMs
Refuse
High-Cost Attacks but Stay
Vulnerable
to Cheap, Real-World Harm
expectedharm.github.io
·
3h
·
Discuss:
Hacker News
🛡️
Security Type Systems
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