coding
Shopify Abandons React Native for Swift & Kotlin
Shopify announces its decision to abandon React Native in favor of native mobile development using Swift for iOS and Kotlin for Android to improve app
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Tips Tagged: Coding
Explore all tips and tricks tagged with "coding".
95 tips found
coding
How Developers Use Multiple AI Models in 2026
Developers in 2026 strategically combine multiple AI models to leverage specialized strengths, optimize costs, and build more robust applications through
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coding
Persistent AI Agents: Continuous Execution Patterns
Explores design patterns and architectural approaches for building AI agents that maintain state, execute tasks continuously, and operate autonomously over
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claude
Testing Claude Fable 5.1 with Animated Pelicans
This article explores testing Claude Fable 5.1 AI model using animated pelicans as a creative benchmark to evaluate its performance and capabilities.
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coding
Interpreting LLM-Based Text Classification Models
This guide explores methods and techniques for interpreting how large language model-based text classification systems make decisions, including attention
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coding
Updating llm-anthropic for Anthropic SDK 1.0.0
This guide explains how to update the llm-anthropic plugin to work with version 1.0.0 of the Anthropic SDK, covering breaking changes and migration steps for
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coding
SmolVM: Hardware VM Sandbox for Untrusted Code
SmolVM is a hardware-based virtual machine sandbox designed to safely execute untrusted code by providing isolated environments with strict resource controls
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Eval-Driven Development for Production AI Agents
Eval-Driven Development for Production AI Agents emphasizes building reliable AI systems by creating comprehensive evaluation frameworks before deployment,
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Agent Evals: Testing AI Before Deployment
Organizations test AI agents through systematic evaluations before deployment to ensure reliability, safety, and performance meet required standards for
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Multi-Agent Systems Need Managers, Not More Agents
Multi-agent systems require effective management and coordination rather than simply adding more agents, as proper oversight and structure prove more valuable
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Embedding Model Selection: 10 Practical Scenarios
Explores ten real-world scenarios for choosing embedding models, covering use cases from semantic search and recommendation systems to multilingual
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From Jupyter Notebooks to Production ML Systems
This article explores the challenges and best practices for transitioning machine learning models from experimental Jupyter notebooks to robust, scalable
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Meta's Muse Code Challenges Cursor in AI Coding
Meta launches Muse Code, a new AI-powered coding assistant that directly competes with Cursor by offering advanced code completion, chat-based programming
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Speculative Decoding: Faster LLM Text Generation
Speculative decoding accelerates large language model text generation by using a smaller draft model to predict tokens that a larger model then verifies in
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FinOps Implementation Guide for Microsoft Fabric
This comprehensive guide explores FinOps implementation strategies for Microsoft Fabric, covering cost optimization, monitoring, governance frameworks, and
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coding
Rethinking AI Architecture for Physical Robots
Explores innovative approaches to designing artificial intelligence systems specifically optimized for embodied robots operating in physical environments
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AI Agent Repository Management Without Cloning
AI Agent Repository Management Without Cloning enables developers to interact with and manage code repositories through AI agents without requiring local
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AI Is Transforming Four Layers of Your Tech Stack
Artificial intelligence is revolutionizing technology infrastructure across four critical layers including data management, application development,
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chatgpt
GPT-5.6 Review: 10 New Features for Developers
GPT-5.6 Review examines ten new features designed specifically for developers, including enhanced API capabilities, improved performance metrics, advanced
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Inkling: Mira Murati's Conversational AI Model
Inkling is Mira Murati's conversational AI model designed to engage users in natural, human-like dialogue while demonstrating advanced language understanding
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coding
Debugging Ray Tracing with NVIDIA OptiX Toolkit
Learn how developers can efficiently debug ray tracing applications using NVIDIA OptiX Toolkit's comprehensive debugging features, profiling tools, and
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Loading Kimi K3: China's Coding-Focused LLM
Kimi K3 is a Chinese large language model developed by Moonshot AI that specializes in coding tasks and programming assistance with competitive performance
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coding
SGLang Outperforms Hugging Face TGI in Benchmarks
SGLang demonstrates superior performance compared to Hugging Face Text Generation Inference in recent benchmark tests, showing faster processing speeds and
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Bridging the Gap: How Machines Learn Human Language
This article explores how natural language processing and machine learning technologies enable computers to understand, interpret, and generate human language
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Kimi K3: Moonshot AI's Long-Context Revolution
Moonshot AI introduces Kimi K3, a groundbreaking long-context language model that processes extended documents and conversations with unprecedented efficiency
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When AI Agents Lie About Their Own Performance
This article examines cases where AI agents misrepresent their capabilities and accuracy, exploring why these systems produce false claims about their own
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coding
Prompt Caching: Reuse Context, Cut LLM Costs 90%
Prompt caching reduces LLM API costs by up to 90% by storing and reusing repeated context across multiple requests, eliminating redundant processing and
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OpenAI Embeddings Fall to 13th as Free Model Leads
OpenAI's embedding models drop to 13th place in performance rankings as a new free, open-source model takes the lead, marking a significant shift in the AI
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claude
Claude Code Schedulers: Local Execution Options
Claude Code Schedulers explores local execution options for automating code tasks, comparing cron jobs, systemd timers, and task scheduling tools to run
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coding
Fraud Ops Escalation Agent with Snowflake CoWork
The Fraud Ops Escalation Agent with Snowflake CoWork streamlines fraud investigation workflows by integrating real-time data analysis, automated case
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claude
Claude Fable 5 Returns with Auto Opus 4.8 Routing
Claude Fable 5 launches with enhanced Auto Opus 4.8 routing capabilities, offering improved performance and intelligent request handling for more efficient AI
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AI Consistency Crisis: Same Prompts, Different Answers
AI language models produce varying responses to identical prompts due to temperature settings, model updates, and inherent randomness, creating challenges for
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coding
Running 70B Language Models Locally Made Simple
This guide explains how to run 70-billion parameter language models on local hardware, covering system requirements, optimization techniques, and practical
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RedTensor Engine Claims 200x Performance Boost
RedTensor Engine announces a 200x performance boost through advanced optimization techniques, promising to dramatically accelerate machine learning workloads
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coding
Unraveling an Async HTTP Request
This article explains how asynchronous HTTP requests work, covering the event loop, callbacks, promises, and async/await patterns in modern web development.
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Grounding LLMs: RAG, Fine-Tuning & Prompt Engineering
This guide explores three key techniques for grounding large language models—Retrieval-Augmented Generation, fine-tuning, and prompt engineering—to improve
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coding
How the Model Context Protocol Handles Authorization
A look at the Model Context Protocol authorization spec: OAuth 2.1 roles, token validation, scopes, and the discovery flow between clients and servers.
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Memory Systems for Long-Running AI Agents
How long-running AI agents manage memory through compaction, note-taking, and sub-agents, based on Anthropic's context engineering guidance.
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claude
Memoriki: A Memory Layer for Claude Code
Memoriki combines an LLM wiki with the MemPalace MCP server to give Claude Code structured notes, semantic search, and an entity graph.
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coding
Abliteration: Removing AI Refusals Explained
Abliteration uncensors language models by finding the refusal direction in the residual stream and orthogonalizing weights against it, without retraining.
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How GitHub Actions Workflows Can Leak Secrets
GitHub's official hardening guidance explains how Actions workflows can expose secrets and how least privilege and pinned actions reduce the risk.
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BIRD-SQL Benchmark Tests LLM Text-to-SQL Skills
The BIRD-SQL benchmark measures how well large language models turn natural language questions into SQL across messy, real-world databases.
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AI Diagrams: Chat-Generated, Fully Editable
How text-based diagramming tools like Mermaid turn plain text definitions into editable flowcharts, sequence diagrams, and more.
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Auto-Rename Images with Vision Models & Reasoning
How small vision language models like Moondream analyze image content and use a reasoning mode to produce more accurate, descriptive results.
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Optimizing LLM Inference Speed in Transformers
How the Hugging Face Transformers library speeds up LLM inference with static kv-cache, speculative decoding, FlashAttention-2, and quantization
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Tuning llama-server Batch and Parallel Settings
How the batch, ubatch, and parallel options in llama.cpp's llama-server control concurrent request handling and where to read throughput metrics.
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Running LLM Inference on Consumer GPUs with vLLM
How vLLM uses quantization, paged attention, and continuous batching to run large language model inference across a wide range of GPU hardware.
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Teloxide: A Full-Featured Rust Telegram Bot Framework
Teloxide is a Rust framework for building Telegram bots, with declarative message pipelines, typed commands, and finite-state dialogues.
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Claude Code Hooks Can Block Risky Actions
Claude Code hooks run shell commands at lifecycle points and can deterministically block tool calls like risky edits or shell commands.
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claude
How Claude's Computer Use Tool Controls a Screen
Anthropic's computer use tool lets Claude see screenshots and control the mouse and keyboard to operate desktop software autonomously.
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coding
How Claude Code Remembers Projects With CLAUDE.md
Claude Code uses CLAUDE.md files and auto memory to carry project context across sessions, with files written by developers and notes written by Claude.
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claude
Claude Desktop MCP: Filesystem Access for Obsidian
How Claude Desktop's filesystem MCP server reads and edits local markdown files, including an Obsidian vault, with per-action user approval.
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coding
Run Claude Code From Discord With a Bot Bridge
An open-source Discord bot runs Claude Code from chat channels, with sandboxing, role-based access, MCP management, and Git branch organization.
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Command Injection in GitHub Actions Issue Bots
How untrusted input like issue titles can inject shell commands into GitHub Actions workflows, and the environment variable pattern that prevents it.
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Evolutionary Model Merge Skips Backprop
Sakana AI uses evolutionary algorithms to combine open models into new ones without any gradient-based training, reaching strong benchmark results.
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Debug LangChain Agents with LangSmith Tracing
How developers trace and debug LangChain agents with LangSmith using environment variables and the SDK, with traces viewed in the UI or API.
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A Local OCR Plugin for FiftyOne Datasets
A FiftyOne plugin runs PyTesseract optical character recognition on dataset images locally and stores the results as labels.
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Google's Gemma Scope Opens Up AI Interpretability
Google DeepMind released Gemma Scope, an open suite of sparse autoencoders that help researchers study the inner workings of Gemma 2 models.
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GLM-4-9B-Chat Converted to GGUF for llama.cpp
THUDM's GLM-4-9B-Chat has been quantized to GGUF format, letting the bilingual model run locally through llama.cpp across several size options.
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Hardware-First Guide to Selecting Open-Source LLMs
How GPU memory, precision, and quantization determine which open-source language models can actually run on a given machine.
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ik_llama.cpp Adds Graph Split Mode for Multi-GPU
The ik_llama.cpp fork adds a split mode graph that brings tensor parallelism for MoE models across multiple CUDA GPUs.
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ktop: Terminal CPU and GPU Monitor for LLM Workloads
ktop is a Rust terminal monitor that tracks CPU, GPU, memory, network, and temperature for hybrid LLM workloads in a single view.
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llama.cpp Web UI Gains MCP Proxy for Tools
The llama.cpp web UI can proxy Model Context Protocol servers so a local model discovers and calls external tools through HTTP transports.
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llama-swap: On-Demand Local Model Swapping
llama-swap is a Go proxy that loads and switches local AI models on demand through an OpenAI and Anthropic compatible API.
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coding
Local AI Text-to-Speech in the Browser with Kokoro
Kokoro-82M runs text-to-speech fully in the browser through Transformers.js, with WebGPU, WASM, and CPU backends and no server calls.
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Local LLM Labels Gmail Without Sending Email to Cloud
An open-source Python tool uses a local Ollama model or OpenAI to automatically categorize and label Gmail messages through the Gmail API.
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M5 Max vs M3 Max: What the llama.cpp Data Shows
The community llama.cpp benchmark has full M3 Max numbers but no M5 Max results yet, only projected memory bandwidth figures.
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Fine-Tune LLMs on Apple Silicon with mlx-lm LoRA
Apple's mlx-lm package fine-tunes large language models on Apple silicon using LoRA and QLoRA, with support for several open model families.
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OpenAI-to-Claude API Translation With LiteLLM
How LiteLLM translates OpenAI Chat Completions requests into Anthropic's Claude format, covering tools, streaming, and proxy routing.
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claude
Parallel Git Worktrees for AI-Assisted Development
How Claude Code uses git worktrees to run parallel coding sessions in isolated checkouts so edits in one session never collide with another.
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coding
Running Multimodal Gemma Locally on Mac with MLX-VLM
MLX-VLM runs vision-language and omni models, including Gemma multimodal variants, on Apple Silicon Macs for local image, audio, and video tasks.
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Qwen2.5-0.5B: A Small Model Built to Run Locally
Qwen2.5-0.5B is a 0.49B-parameter open model with a 32K context window and support for local runtimes like llama.cpp, Ollama and MLX.
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Shrinking CUDA Binaries: Kernel Consolidation Guide
How CUTLASS keeps CUDA binary size down by filtering kernel instantiations and limiting target architectures during compilation.
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Petals: Running Large AI Models BitTorrent-Style
How the Petals project pools consumer GPUs in a peer-to-peer swarm so people can run very large language models at home together.
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Running AI Models on Budget Laptop Hardware
How llama.cpp and GGUF quantization make it possible to run language models on consumer laptops without dedicated server hardware.
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Qwen2-VL 2B Vision Model Runs In The Browser
An ONNX build of Qwen2-VL-2B-Instruct runs vision-language inference in the browser through Transformers.js, no server required.
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Running AI Agents Offline with Ollama on M1 Mac
How Ollama runs open language models locally on a Mac, exposing a local REST API for building AI agents without a cloud connection.
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Running LLMs on AMD Strix Halo with llama.cpp
Community llama.cpp benchmarks show AMD Strix Halo running local language models on its integrated GPU with 128GB of shared memory.
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Running LLMs on AMD Ryzen AI NPU via Linux
How AMD's open-source XDNA driver enables inference on Ryzen AI NPU hardware under Linux, including kernel and OS requirements.
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Qdrant: A Rust Vector Search Engine
Qdrant is an open-source vector similarity search engine written in Rust, supporting dense and sparse vectors, hybrid search, and on-device deployment.
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Qwen3-VL Brings Video Understanding to Search
Qwen3-VL from the Qwen team handles hours-long video with second-level indexing and timestamp-grounded event localization for natural language video search.
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Ship Apps Without Learning DevOps: Railway CLI
How Railway's command-line tools let developers deploy applications by bringing their code and letting the platform handle the rest
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State Machine Workflow Control for MCP Servers
How the python-statemachine library models states and transitions, and why that structure suits MCP servers managing multi-step workflows.
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Placing CLAUDE.md Files Across a Monorepo
How Claude Code loads CLAUDE.md memory files up and down the directory tree, and how to scope instructions for monorepos.
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coding
SWE-rebench: A Decontaminated SWE Agent Benchmark
SWE-rebench is an automated pipeline and dataset that continuously collects real GitHub tasks to evaluate software engineering agents.
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Teaching Language Models to Self-Debug Code
A research paper introduces self-debugging, a method that teaches language models to find and fix their own code errors without human feedback.
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Git Worktrees for Parallel Branch Work in the Terminal
How git worktrees let developers keep multiple branches checked out at once, and how terminal tools like lazygit expose this from the command line.
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Why BM25 Still Beats Embeddings Out of Domain
The BEIR benchmark found that classic BM25 keyword search is a robust baseline that many neural embedding models fail to beat on unfamiliar data.
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How llama.cpp Powers Local LLM Inference
A look at llama.cpp, the C/C++ project behind much of the local LLM movement, including its GGUF format, quantization levels, and hardware backends
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Fine-Tuning a 20B gpt-oss Model on a 24GB GPU
How Unsloth fits gpt-oss-20b QLoRA fine-tuning into 14GB of VRAM, well within consumer 24GB cards, and the MXFP4 hurdles it had to solve.
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Ubuntu Inference Snaps: Packaged Local AI Models
Canonical's inference snaps package generative AI models that run locally on Ubuntu, auto-detecting hardware and exposing an OpenAI-compatible API.
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Unsloth Speeds Up Embedding Model Fine-Tuning
Unsloth reports embedding model fine-tuning roughly 1.8 to 3.3x faster than other Flash Attention 2 setups, with about 20 percent less memory.
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Unsloth Cuts VRAM for MoE Fine-Tuning
Unsloth says its gpt-oss fine-tuning uses over 50% less VRAM, letting the 20B Mixture-of-Experts model train on under 14GB.
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Unsloth Stretches Fine-Tuning Context on a Single GPU
Unsloth's gradient checkpointing algorithm fits much longer context windows on one GPU by offloading activations to system RAM.
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How Artificial Analysis Compares AI Models
Artificial Analysis publishes independent benchmarks comparing AI models on intelligence, speed, and price to help teams pick the right provider
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