Building the Future of Aircon Servicing with C++
airconservicing.org·19h·
Discuss: DEV
📦Monorepos
std::ranges may not deliver the performance that you expect
lemire.me·1d·
Discuss: Hacker News
🏃Escape Analysis
[shi•rei] A new immediate-mode GUI framework for Go
judi.systems·21h·
Discuss: r/golang
💻Terminal UIs
LLMs Are the Key to Mutation Testing and Better Compliance
engineering.fb.com·6d
🎲Test Generators
I'm Building a Browser for Reverse Engineers
nullpt.rs·1d·
Discuss: Lobsters, Hacker News
🌐Browser REPLs
A Software Developer's Taste
machine-unlearning.com·15h
🔗Language Toolchains
Estimated tokens to merge (ETM) & other notes
gmays.com·1d·
Discuss: Hacker News
🎭Program Synthesis
How to approach low-level programming.
reddit.com·17h·
Discuss: r/embedded
⚙️Assembly
I built a faster singleflight implementation for Go (zero allocations, ~4x faster than std)
reddit.com·17h·
Discuss: r/golang
💾Zero-Copy
Your-Error-Handling-is-a-Mess-and-Its-Costing-You-💸
dev.to·9h·
Discuss: DEV
🚂Error Propagation
The Easiest Way to Test Node.js Apps with MongoDB: Without Breaking Your Production Database
dev.to·1d·
Discuss: DEV
🛡️Error Handling
COSMIR: Chain Orchestrated Structured Memory for Iterative Reasoning over Long Context
arxiv.org·4h
🔄Subinterpreters
Your-Tests-Are-Slow-and-Brittle-Youre-Testing-the-Wrong-Thing
dev.to·4d·
Discuss: DEV
🧪Testing Compilers
Your-Projects-a-Mess-Its-Not-You-Its-Your-Frameworks-Fault
dev.to·12h·
Discuss: DEV
📦Monorepos
Efficient Latent Variable Causal Discovery: Combining Score Search and Targeted Testing
arxiv.org·4h
🌱Minimal ML
Implicit Models: Expressive Power Scales with Test-Time Compute
arxiv.org·4h
🌱Minimal ML
Trust Engineering for Builders: A No-Fluff PR Playbook That Actually Works
dev.to·21h·
Discuss: DEV
💬Error Message Design
hybstr — A header only hybrid compile-time & runtime string library that is compatible with c++17
github.com·17h·
Discuss: r/cpp
🪆Embedded DSLs
DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
arxiv.org·4h
⚡Partial Evaluation
Mixture of Experts Implementation using Granite4: Harnessing Specialization with the Latest Granite Family Model
dev.to·1d·
Discuss: DEV
🔍ML Language