Clik
producthunt.com·1d
🌳Persistent Parsers
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Improved RSS feeds
markjgsmith.com·4h
🔄Incremental Parsers
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Rust and JavaScript are a perfectly valid combination with no problems
jakobmeier.ch·5h·
Discuss: r/rust
⚙️TOML Parsers
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Intelligent inference request routing for large language models
next.redhat.com·1d
🧠Semantic Parsing
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Crossplatform Business Logic in Rust
forgestream.idverse.com·3d·
Discuss: r/rust
🪆Embedded DSLs
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Of course you can build dynamic AI agents with Temporal
temporal.io·10h·
Discuss: Hacker News
🎭Erlang OTP
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Models, Agents and Prompt Injections – Some Experiments
veganmosfet.github.io·1d·
Discuss: Hacker News
🌐Network Protocols
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Builder Design Pattern and Cyclomatic Complexity Reduction
johnjr.dev·2d·
Discuss: Hacker News
🔀Control Structures
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Self-adapting LLMs behave more like students to absorb new knowledge
techxplore.com·11h
🪜Recursive Descent
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Opinion piece: On Zig (and the design choices within)
lobste.rs·1d·
Discuss: Lobsters
Zig
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Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer
arxiv.org·1d
🪜Recursive Descent
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Investigating CoT Monitorability in Large Reasoning Models
arxiv.org·22h
Type Checking
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On Non-interactive Evaluation of Animal Communication Translators
paperium.net·1d·
Discuss: DEV
🧪Parser Testing
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Create Your First MCP Tool: The readFile Tool Explained
dev.to·23h·
Discuss: DEV
📦Monorepos
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The Evolution of Sequential Learning Models: RNN LSTM Transformers
dev.to·1d·
Discuss: DEV
📊LR Parsing
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Generalized Security-Preserving Refinement for Concurrent Systems
arxiv.org·1d
🛡️Security Type Systems
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How to Build a Custom MCP Server to Read Local Files with Claude Desktop: Challenges & Solutions
pub.towardsai.net·1d
🔗Language Toolchains
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LLMs vs. Traditional Sentiment Tools in Psychology: An Evaluation on Belgian-Dutch Narratives
arxiv.org·22h
Tokenizer Benchmarks
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building a rust + python cli tool for cleaning messy data into ai-ready json, is this good enough for resume?
reddit.com·13h·
Discuss: r/rust
🚂Cranelift Backend
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Building an ML Language from Scratch: Introducing Charl
dev.to·2d·
Discuss: DEV
📐Standard ML
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