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πŸ›οΈ Mainframe Archaeology

COBOL Recovery, EBCDIC Translation, Legacy Migration, Business Logic Extraction

Keynotes at APNIC 60: Leslie Daigle and Vu The Binh
blog.apnic.netΒ·3h
πŸ•ΈοΈMesh Networks
Your Kubernetes: Strategic Asset or Ticking Time Bomb?
exoscale.comΒ·2d
πŸ’ΎPersistence Strategies
Visual Studio 2026 Insiders is here! - Visual Studio Blog
devblogs.microsoft.comΒ·19hΒ·
Discuss: Hacker News, r/cpp
πŸ”„Language Evolution
Money for Nothing, Chips for Free
phrack.orgΒ·4dΒ·
Discuss: Hacker News
🌳Archive Merkle Trees
C and C++: The Hidden Power Behind Modern Programming
github.comΒ·2dΒ·
Discuss: r/programming
πŸ”©Systems Programming
KDE Linux and FreeBSD hit alpha and – surprise – fan fave Pop_OS nearly at beta
theregister.comΒ·3h
πŸ”ŒOperating system internals
Microsoft Azure Fabric Controller: The Cloud’s Mastermind Explained
dev.toΒ·5hΒ·
Discuss: DEV
🏠Homelab Orchestration
Survey: Most IT Teams Not Prepared to Manage AI Workloads
devops.comΒ·23hΒ·
Discuss: Hacker News
πŸ“ŠHomelab Monitoring
Show HN: D-Tale, easy to use GUI for Pandas data structures
github.comΒ·1dΒ·
Discuss: Hacker News
πŸ¦€Rust Macros
Atlassian's move to cloud-only means customers face integration issues and more
theregister.comΒ·23hΒ·
Discuss: Hacker News
🏠Homelab Orchestration
Looking for advice: how to properly separate my homelab from my home network?
reddit.comΒ·6hΒ·
Discuss: r/homelab
πŸ–₯Home Lab Setup
Guardian AI: Verifying Billion-Parameter Models on the Edge by Arvind Sundararajan
dev.toΒ·1dΒ·
Discuss: DEV
πŸ’»Local LLMs
Experiment with gopls MCP: Improving Agent Context for Go Development
dev.toΒ·1dΒ·
Discuss: DEV
πŸ“‹Protocol Buffers
AI Agents and Their Life Cycle: What You Should Know
thenewstack.ioΒ·21h
πŸ€–AI Curation
Why I Bet on FastAPI Over Django (After 10 Years of Using It)
dev.toΒ·17hΒ·
Discuss: DEV
πŸ”ŒInterface Evolution
Language Native Lightly Structured Databases for Large Language Model Driven Composite Materials Research
arxiv.orgΒ·1d
πŸ—‚οΈVector Databases
ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders
arxiv.orgΒ·1d
πŸ”—Monadic Parsing
Students' Perception of LLM Use in Requirements Engineering Education: An Empirical Study Across Two Universities
arxiv.orgΒ·1d
πŸ’»Programming languages
Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting
arxiv.orgΒ·1d
✨Effect Handlers
Proof-Carrying Numbers (PCN): A Protocol for Trustworthy Numeric Answers from LLMs via Claim Verification
arxiv.orgΒ·1d
πŸ›‘οΈProof-Carrying Data
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