CodeMirror and Spell Checking: Solved
chipx86.blogยท1d
๐ŸŒณIncremental Parsing
4 Powerful Applications of IDALib: Headless IDA in Action
hex-rays.comยท2d
๐Ÿ”ฌBinary Analysis
Getting Started with TypeScript on Fastly Compute
fastly.comยท2d
๐Ÿ’งLiquid Types
Issue 716
iosdevweekly.comยท1d
๐Ÿ”ŒInterface Evolution
A Caching Strategy for Identifying Bottlenecks on the Data Input Pipeline
towardsdatascience.comยท1d
๐Ÿ“ŠPerformance Profiling
Coccinelle for Rust progress report (Collabora blog)
lwn.netยท1d
๐Ÿฆ€Rust Borrowing
Edge Clique Partition and Cover Beyond Independence
arxiv.orgยท1d
๐Ÿ•ธ๏ธGraph Algorithms
Function Currying in Modern JavaScript: Why, When, and How
dev.toยท5dยท
Discuss: DEV
๐ŸงฌFunctional Programming
scMamba: A Scalable Foundation Model for Single-Cell Multi-Omics Integration Beyond Highly Variable Feature Selection
arxiv.orgยท1d
๐Ÿง Machine Learning
Using PhantomData and Zero-Sized Types
dev.toยท2dยท
Discuss: DEV
๐Ÿ”’Type Safety
Data Types, Data Structures, and Abstract Data Types โ€“ Whatโ€™s the Difference
dev.toยท1dยท
Discuss: DEV
๐ŸงฎAlgebraic Datatypes
Discover C++26โ€™s compile-time reflection
lemire.meยท6dยท
Discuss: Lobsters, Hacker News, Hacker News, r/cpp, r/programming
๐Ÿฆ€Rust Macros
โš™๏ธ Scalable and Ordered Queueable Execution from Triggers in Salesforce
dev.toยท1dยท
Discuss: DEV
๐ŸŒŠStream Processing
SMOTE or Synthetic Data for Handling Class Imbalance? I Wrote About It on ThinkML
dev.toยท1dยท
Discuss: DEV
๐Ÿ’งLiquid Types
How Good Are Synthetic Requirements ? Evaluating LLM-Generated Datasets for AI4RE
arxiv.orgยท1d
๐ŸŒ€Brotli Internals
Fully lifted \emph{blirp} interpolation -- a large deviation view
arxiv.orgยท3d
๐ŸŒ€Fractal Compression
Free Hugo Autotranslator for Github Pages
dev.toยท1dยท
Discuss: DEV
๐Ÿ”„Migration Tools
Building a Go Concurrency Task Scheduler: Efficient Task Processing Unleashed
dev.toยท3dยท
Discuss: DEV
๐ŸŒŠStream Processing
Escape from Lambda Function Name Hardcoding Hell: Type-Safe Serverless Development with sls_enum
dev.toยท5dยท
Discuss: DEV
ฮปLambda Formalization
ColumnTransformer and Pipelines in Scikit-Learn: Clean, Scalable, and Powerful Preprocessing
dev.toยท1dยท
Discuss: DEV
๐ŸŒŠStreaming Compression