Building a Production-Ready AI Agent
api.github.com·16h·
Discuss: DEV
🔤DSLs
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Writing an LLM from scratch, part 26 – evaluating the fine-tuned model
gilesthomas.com·17h·
Discuss: Hacker News
💾Emulation
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Makefile vs. YAML: Modernizing verification simulation flows
edn.com·1d
🔤DSLs
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Scala vs. F#
alexn.org·1d·
Discuss: Hacker News
🔤DSLs
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Position: Vibe Coding Needs Vibe Reasoning: Improving Vibe Coding with Formal Verification
arxiv.org·8h
🔤DSLs
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PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-CompactVision-Language Model
paperium.net·10h·
Discuss: DEV
🔤DSLs
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Absurd Workflows: Durable Execution With Just Postgres
lucumr.pocoo.org·1d·
Discuss: Lobsters, Hacker News
⚡Async Programming
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OSS updates September and October 2025
blog.michielborkent.nl·1d
⚡Async Programming
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Document-Driven Development in Next.js: How I Stopped Losing My Mind Managing Requirements
danielkliewer.com·1d·
Discuss: Hacker News, r/reactjs
🔤DSLs
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Help us benchmark Hephaestus on SWEBench-Verified! Watch AI agents solve real bugs + get credited in our report
reddit.com·4h·
Discuss: r/LocalLLaMA
⚡Async Programming
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AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMs
arxiv.org·8h
🔤DSLs
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AI coding transforms data engineering: How dltHub's open-source Python library helps developers create data pipelines for AI in minutes
venturebeat.com·22h
🔓Open Source
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OpenSIR: Open-Ended Self-Improving Reasoner
arxiv.org·8h
🔤DSLs
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Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
arxiv.org·8h
🔤DSLs
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How to use the matches! Macro Pattern Matching
dev.to·4h·
Discuss: DEV
🔤DSLs
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original ↗
raymondcamden.com·1d
🌐Fediverse
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RimStone is a different kind of programming language
dev.to·2d·
Discuss: DEV
🔤DSLs
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Show HN: Structa – Design databases in plain English with AI
trystructa.com·4h·
Discuss: Hacker News
🔤DSLs
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Incremental Compilation in Recursive‑Descent Parser (Roslyn)
langdev.stackexchange.com·1d·
Discuss: Hacker News
🦀rust
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A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI
arxiv.org·8h
🔤DSLs
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