Struggling to generate realistic test data for your frontend? Here’s a schema-based API I built
rapidapi.com·17h·
Discuss: r/webdev
📊DataFrame Types
Backend-for-Frontend (BFF) in 2025: Still Relevant or Outdated?
devtechinsights.com·1d·
Discuss: DEV
📡Protocol Buffers
Vector Search in MongoDB
mongodb.com·15h·
Discuss: Hacker News
🔍Search Algorithms
How SewerAI is using ClickHouse to modernize sewer management at scale
clickhouse.com·2d
🗄️Database Engines
2025-09-17: Classic Machine Learning Models and XAI Methods
ws-dl.blogspot.com·3d·
Discuss: ws-dl.blogspot.com
🔍ML Language
How I hacked the Placement portal of my college to leak the entire SQL database
infosecwriteups.com·3d
🎓Educational Databases
7 Essential Distributed Systems Techniques Every Software Architect Must Master in 2024
dev.to·1d·
Discuss: DEV
📮Persistent Queues
Node.js Memory Profiling
dev.to·1d·
Discuss: DEV
📊Memory Profilers
Designing a Scalable, Serverless Vulnerability Data Processing Pipeline on AWS
dev.to·3h·
Discuss: DEV
✅Configuration Validation
Predicting Anoxic Event Severity Using Multi-Modal Deep Learning on Coastal Sediment Core Data
dev.to·22h·
Discuss: DEV
📈Earley Parsing
Build a Secure CRUD API with Node.js, Express & MongoDB (Mongoose)
dev.to·1d·
Discuss: DEV
🔧API Design
GTA -- An ATSP Method: Shifting the Bottleneck from Algorithm to RAM
arxiv.org·3d
⏲️Embedded GC
I built a Go framework: Anclax
github.com·10h·
Discuss: Hacker News
🐹Go Runtime
What do you find more common in practice for modeling systems?
reddit.com·16h·
Discuss: r/embedded
🧱First Principles
Beyond the Dashboard: How I Built an AI Agent to Revolutionize Data Reporting
dev.to·2d·
Discuss: DEV
📋Datalog
How to Reduce Data Annotation Overhead in High-Volume Pipelines
dev.to·2d·
Discuss: DEV
📋JSON Parsing
Evaluating Large Language Models for Cross-Lingual Retrieval
arxiv.org·2d
📊LR Parsing
Navigating RAG System Architecture: Trade-offs and Best Practices for Scalable, Reliable AI Applications
dev.to·19h·
Discuss: DEV
🚀Tokenizer Performance
Enhanced Monte Carlo Resampling via Adaptive Variance-Weighted Importance Sampling
dev.to·1d·
Discuss: DEV
🗺️Region Inference
Weekly Challenge: Maximum climb
dev.to·7h·
Discuss: DEV
🌳Tree Algorithms