Syntax Trees, Language Servers, Code Analysis, Parser Generators

AI Function Calling: Composing and Decomposing Functions for Complex Tasks
lightcapai.medium.com·18h·
Discuss: Hacker News
FastAPI
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We built a collaboration platform on Claude Code. Here's what we learned.
gbase.ai·13h·
Discuss: r/ClaudeAI
🤖Automation
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Using Coding Agents to Decompile Nintendo 64 Games
blog.chrislewis.au·1h·
Discuss: Hacker News
🔓Binary Exploitation
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Gen AI Grows Up: Building Production-Ready Agents on the JVM • Rod Johnson • GOTO 2025
youtube.com·31m
📱Edge AI
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3 MCP servers you should be using (safely)
developers.redhat.com·21h
🚀MLOps
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Lowering in Reverse
buttondown.com·1d·
Discuss: Hacker News
🔥DataFusion
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Tool Expressions: The Next Evolution in Agent Intelligence
blog.nishantjosh.dev·6h·
Discuss: r/programming
🎭Program Synthesis
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Autark: Rethinking build systems – Integrate, Don’t Outsource
dev.to·6h·
Discuss: DEV
🏗️Build Systems
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Lessons from Implementing RAG in 2025
truestate.io·4h·
Discuss: Hacker News
🔍RAG
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Cyclic Proofs for iGL via Corecursion
arxiv.org·8h
🧮SMT Solvers
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Creating Lisp Systems
renato.athaydes.com·6h·
Discuss: Hacker News
🏭Code Generation
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LangChain vs LangGraph: A Beginner’s Guide to Building Smarter AI Workflows
hackernoon.com·1d
💬Prompt Engineering
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Writing Your First Compiler - Part 3: Lexical Analysis
dev.to·1d·
Discuss: DEV
📝Parsing
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Writing an LLM from scratch, part 26 – evaluating the fine-tuned model
gilesthomas.com·1d·
Discuss: Hacker News
⚙️JIT Compilation
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Between Rules and Meaning: Building a Website That Understands Language
dev.to·10h·
Discuss: DEV
📝Parsing
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.org·1d
🔧Data Engineering
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PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-CompactVision-Language Model
paperium.net·1d·
Discuss: DEV
📝Parsing
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Readable Code Is Unreadable
blog.wilsonb.com·1d·
Discuss: Hacker News
🏭Code Generation
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Building Definition Bot: Thinking Simple, Building Smart
github.com·11h·
Discuss: DEV
🎭Program Synthesis
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Automated Variant Calling Refinement via Multi-Modal Neuro-Symbolic Integration (AMVR-MNSI)
dev.to·19h·
Discuss: DEV
🧮Vector Databases
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