#low-level programming
362 related articles
·4 min
AI Agents Automating JS Reverse Engineering: A Deep Dive into the New Paradigm for Web Scraping
AI agents are revolutionizing JS reverse engineering. This deep dive covers built-in tool chains, automation modes, prompt engineering for e-commerce, and full pipeline automation from parameter extraction to database storage.
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Designing APIs for AI Agents: A Paradi…
·3 min
Designing APIs for AI Agents: A Paradigm Shift from Human Interfaces to Agent-Friendly Design
When AI Agents become the primary API callers, traditional interface design assumptions break down. This article explores agent-friendly API design principles and how MCP is driving this paradigm shift.
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CUDA 13.3 Adds Carryless Multiplicatio…
·2 min
CUDA 13.3 Adds Carryless Multiplication: A Key Step Forward for GPU Cryptography Acceleration
CUDA 13.3 introduces native carryless multiplication support, closing a 15-year GPU gap in AES-GCM, CRC, and cryptographic acceleration. Here's what it means.
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·3 min
AI Code Getting Worse with Every Fix? A Three-Layer Closed-Loop Engineering Methodology to Break the Cycle
AI code spiraling out of control? This article breaks down a three-layer engineering system — Prompt rules, Skill workflows, and Harness feedback loops — with real-world results showing pass rates rising from 70% to 98%.
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·3 min
Bun Rewrote a Million Lines of Code in 11 Days with Claude Code: A New Paradigm for AI-Assisted Programming
Bun author Jared Sumner used Claude Code's dynamic workflows to rewrite 1M+ lines of Zig code into Rust in 11 days for $165K — what 3 engineers would need a year to do.
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·2 min
Spring AI in Action: A Complete Guide to LLM Integration for Java Developers
Spring AI is Java's answer to LangChain — offering unified multi-model APIs, structured output, RAG, Tool Calling, and MCP protocol support for enterprise LLM development.
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LFortran + Enzyme: A New Path to Autom…
·2 min
LFortran + Enzyme: A New Path to Automatic Differentiation for Fortran Code
LFortran + Enzyme enables automatic differentiation for decades of Fortran scientific code without rewrites. Learn the technical principles, implementation path, and impact on scientific ML.
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How DSLs Make LLM Outputs More Reliabl…
·3 min
How DSLs Make LLM Outputs More Reliable: Principles and Practice
LLM output instability is a core production challenge. This article analyzes how DSLs improve LLM reliability through verifiability, semantic convergence, and structural constraints.
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Dmars: A Modern Toolchain for the Clas…
·2 min
Dmars: A Modern Toolchain for the Classic Core Wars Programming Game
Dmars is a modern toolchain for Core Wars, featuring a Redcode assembler, MARS simulator, and debugging tools. Learn why this 1980s programming battle game still matters today.
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4 Alternatives for Running CUDA on Non…
·3 min
4 Alternatives for Running CUDA on Non-NVIDIA Hardware: A Comparative Guide
A deep dive into running CUDA on non-NVIDIA hardware (AMD, Intel): comparing ROCm/HIP, ZLUDA, SYCL/oneAPI, and OpenCL across principles, use cases, and limitations.
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MemStitch Zero-Copy Context Bridging: …
·2 min
MemStitch Zero-Copy Context Bridging: How It Achieves 25x TTFT Speedup in vLLM
A deep dive into how MemStitch's zero-copy context bridging achieves 25x TTFT speedup in vLLM. Covers KV Cache optimization, prefill acceleration, and practical developer value.
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Zig Creator Calls Out Anthropic: The G…
·2 min
Zig Creator Calls Out Anthropic: The Gap Between AI Hype and Technical Reality
Zig creator Andrew Kelley publicly criticizes Anthropic for "blowing smoke" in AI marketing. A deep dive into the tension between AI hype and engineering integrity.
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·2 min
Coze No-Code AI Agent Development: A Complete Guide from Getting Started to Deployment
Build AI agents without coding! This guide covers Coze's visual workflows, 60+ plugins, RAG knowledge bases, and persistent memory — plus version selection tips for beginners.
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sqlite-utils 4.1.1: Fix for Silent Dat…
·2 min
sqlite-utils 4.1.1: Fix for Silent Data Loss Risk in Foreign Key Transactions
sqlite-utils 4.1.1 fixes a silent data loss risk in table.transform() caused by foreign key cascade actions inside transactions, introducing a TransactionError fail-fast mechanism.
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·2 min
Getting Started with Ollama: A Powerful Tool for Deploying Open-Source LLMs Locally
Ollama is a free, open-source LLM management platform that lets you deploy open-source models like DeepSeek locally with one click. It supports macOS, Windows, Linux, and Docker, with both API and CLI modes to build private AI apps at zero cost.
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·4 min
AI Weekly Recap: Four Major Vendors Cut Prices Together, Copilot's Paid Conversion Rate Just 4.5%
In one week, OpenAI, xAI, Google, and Microsoft all cut AI prices, driving near-frontier inference costs sharply lower. Meanwhile, Microsoft Copilot's paid conversion across 450M seats is under 4.5%, exposing the monetization challenge of general AI assistants.
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·3 min
LangChain V1.3 Hands-On Tutorial: A Complete Breakdown of RAG, Multi-Agents, and Engineering Mindset
An in-depth look at LangChain V1.3's core philosophy: from RAG to multi-agent workflows. Master LangGraph, Chain, and DeepAgent, learn token control and Human-in-the-loop, and become a true master of AI app development.
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·2 min
The Complete Guide to Microsoft PowerToys: A Deep Dive into Windows Productivity Tools
PowerToys is Microsoft's official open-source Windows utility suite featuring FancyZones, PowerToys Run, batch renaming, and more. A deep dive into its core features, developer tools, and how to install it.
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·5 min
Open-Source MCP Server: Automatically Verifying the Authenticity of AI-Generated Paper Citations
AI "citation hallucination" threatens academic integrity—LLMs generate perfectly formatted but nonexistent references. This open-source MCP server verifies AI citations in real time against CrossRef, PubMed, and more, catching fakes at the source.
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·4 min
6 Months of Self-Taught Machine Learning: A Complete Roadmap from Zero to Job-Ready
A self-learner completed a full progression from math foundations and core ML to deep learning in 6 months—hand-writing a Transformer and implementing gradient boosting from scratch. This article breaks down the highlights and blind spots of this real roadmap.
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