KaniTTS2: Fast Local Text-to-Speech with Cloning
KaniTTS2 provides a fast, locally-run text-to-speech system with voice cloning capabilities, enabling users to generate natural-sounding speech from text while
#coding
Coding
Coding Tips & Tricks
Master Coding with our curated collection of tips, prompt engineering techniques, and productivity hacks.
76 tips found
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Running Qwen's 397B Model Locally with Quantization
The article explains how to run Qwen's massive 397 billion parameter language model on local hardware using quantization techniques to reduce memory
#claude
AdaLLM: True FP4 Inference on RTX 4090s Without FP16 Fallbac
AdaLLM enables genuine 4-bit floating-point inference on RTX 4090 GPUs without reverting to 16-bit precision, delivering faster and more memory-efficient large
#coding
Chatbot Framework Rebuilt in Rust: 10MB Binary
A chatbot framework originally written in another language has been completely rewritten in Rust, resulting in a remarkably compact 10MB binary that
#coding
Nvidia's DMS Cuts LLM Memory Usage by 8x
Nvidia introduces Dynamic Memory Scheduling that reduces large language model memory consumption by eight times, enabling more efficient AI inference and
#ai-tools
Unsloth Kernels: 12x Faster MoE Training, 12GB VRAM
Unsloth Kernels achieves 12x faster Mixture of Experts model training while using only 12GB of VRAM through optimized kernel implementations and memory
#ai-tools
Benchmark Models in Transformers for Real Speed
Benchmark Models in Transformers for Real Speed explores performance testing methodologies and evaluation techniques for transformer architectures, comparing
#prompting
ktop: Unified GPU/CPU Monitor for Hybrid Workloads
ktop is a unified monitoring tool that provides real-time visibility into both GPU and CPU performance metrics for hybrid workloads running across
#prompting
llama.cpp Gets Full MCP Support with Tools & UI
llama.cpp now includes complete Model Context Protocol support, enabling developers to use tools and a user interface for enhanced local language model
#prompting
Unsloth Kernels: Fine-Tune 30B MoE on Consumer GPUs
Unsloth Kernels enables efficient fine-tuning of 30 billion parameter Mixture of Experts models on consumer-grade GPUs through optimized memory management and
#ai-tools
Femtobot: 10MB Rust Telegram Bot vs 350MB Python
A developer compares building a Telegram bot in Rust versus Python, showing how the Rust version achieves a 10MB binary size compared to Python's 350MB
#coding
New llama.cpp Models Need GGUF Quantizations
Users must convert new llama.cpp models to GGUF format through quantization processes before they can be used with the llama.cpp inference engine for local
#ai-tools
Running 80B Model on AMD Strix Halo with llamacpp
This article explores running the 80 billion parameter language model on AMD's Strix Halo APU using llama.cpp, demonstrating local AI inference capabilities on
#ai-tools
FiftyOne OCR Plugins: GLM-OCR vs LightOnOCR-2-1B
FiftyOne offers two OCR plugins for text extraction from images: GLM-OCR provides high accuracy with advanced language models while LightOnOCR-2-1B delivers
#ai-tools
Concierge: Stage-Based Tool Access for MCP Agents
Concierge provides stage-based tool access control for MCP agents, enabling developers to progressively unlock capabilities as agents advance through defined
#prompting
Running 16B AI Models on a Budget Laptop in Burma
A developer in Burma demonstrates how to run 16-billion parameter AI language models on affordable consumer laptops using quantization techniques and optimized
#coding
Uncensored Local Models: Abliteration Methods Compared
This article examines abliteration techniques for removing safety filters from local language models, comparing different methods for uncensoring AI responses
#coding
Parallel Git Worktrees: A Claude Team Productivity Hack
Claude Team members share how parallel Git worktrees enable them to work on multiple branches simultaneously, switching contexts faster and boosting
#claude#coding
Claude Code Has Hidden Hook System for Auto-Linting
Claude Code includes a hidden hook system that automatically runs linting tools on code changes, helping developers maintain code quality and catch errors
#claude#coding
Smart Claude.md Strategy for Cleaner Monorepos
A practical guide exploring how to use Claude.md files to maintain consistent AI coding assistance across monorepo workspaces, reducing context pollution and
#claude#coding
Step-3.5-Flash: 11B Beats DeepSeek v3.2 on Code
Step-3.5-Flash, an 11-billion parameter model, demonstrates superior performance compared to DeepSeek v3.2 in coding tasks, marking a significant advancement
#coding
Concierge: Stateful Workflows for MCP Tool Agents
Concierge provides a stateful workflow framework for Model Context Protocol tool agents, enabling complex multi-step task automation with state management and
#prompting
Maestro: Run Multiple Claude Code Sessions in Parallel
Maestro enables developers to orchestrate and run multiple Claude AI coding sessions simultaneously in parallel, streamlining complex development workflows and
#claude#coding
Teaching Claude to Write Its Own Coding Rules
Exploring how Claude can learn to generate and follow its own coding standards and best practices through iterative feedback and self-improvement techniques.
#claude#coding
Claude Code's Lazy-Loading MCP Cuts Context 85%
Claude Code's new lazy-loading Model Context Protocol reduces token usage by 85% through on-demand resource fetching, enabling developers to work with larger
#claude#coding
Optimizing llama-server Speed with Batch Tweaks
Learn how adjusting batch size parameters in llama-server can significantly improve inference speed and throughput for large language model deployments and
#coding
Claude Code's Hidden Hooks System Explained
Claude Code employs a sophisticated hidden hooks system that allows developers to intercept and modify code execution flow through strategically placed
#claude#coding
Jan v3 4B: Compact Model Excels at Math & Code
Jan v3 4B is a compact language model that demonstrates strong performance in mathematical reasoning and code generation tasks despite its smaller parameter
#coding
DeepSeek's FlashMLA: Tunable Performance Parameters
DeepSeek's FlashMLA introduces tunable performance parameters that allow developers to optimize multi-head latent attention mechanisms by adjusting
#ai-tools
Building a Cooking Game with 3 Specialized AI Tools
This article explores how developers built a cooking game using three specialized AI tools: one for recipe generation, one for visual asset creation, and one
#claude#coding
Qwen3-TTS: Fast Local ElevenLabs Alternative
Qwen3-TTS offers a fast, locally-run text-to-speech solution that serves as an alternative to ElevenLabs, providing high-quality voice synthesis without cloud
#coding
Unsloth Speeds Up Embedding Fine-Tuning 3x
Unsloth accelerates embedding model fine-tuning by three times through optimized training techniques, enabling faster development of custom text embeddings for
#ai-tools
Claude Code Status Bar: Track Context Usage Live
Claude Code Status Bar is a development tool that displays real-time context usage metrics and token consumption directly in the editor's status bar for
#claude#coding
Teach Non-Devs to Ship Apps with These 2 CLIs
Discover how two powerful command-line interfaces enable non-developers to build and deploy applications without coding experience, streamlining the app
#claude#learning#coding
Training 20B Models at 7x Longer Context on 24GB GPUs
This article explains how researchers achieved training 20 billion parameter language models with seven times longer context windows using only 24GB GPUs
#ai-tools
Claude Skill Auto-Generates Full App Codebases
Claude Skill Auto-Generates Full App Codebases is an AI-powered tool that creates complete application code from natural language descriptions, streamlining
#claude#prompting#coding
NeuTTS Nano: 120M TTS Model Runs on Raspberry Pi
NeuTTS Nano is a compact 120-million parameter text-to-speech model optimized to run efficiently on resource-constrained devices like Raspberry Pi, delivering
#ai-tools
Unsloth Enables 7x Longer AI Training Contexts on Single GPU
Unsloth introduces optimized AI training techniques that enable models to handle context windows seven times longer than standard methods while using only a
#learning
Vercel's Agent-Browser CLI Cuts AI Token Use vs Playwright
Vercel introduces Agent-Browser CLI, a new tool that significantly reduces AI token consumption compared to traditional browser automation frameworks like
#claude
Running 120B AI Models on Networked Mini PCs
Researchers demonstrate running 120-billion parameter AI models across networked mini PCs using distributed computing techniques, making large language models
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AI Coding Gets Same Gatekeeping as IDEs and Stack Overflow
Developers face familiar barriers as AI coding tools encounter the same restrictive corporate policies that previously blocked IDEs and Stack Overflow access
#chatgpt#claude#coding
MLX Bridge: Prototype Fine-Tuning on Mac, Deploy on GPU
MLX Bridge enables developers to prototype and fine-tune machine learning models on Mac devices using Apple Silicon, then seamlessly deploy the optimized
#coding
DeepSeek Launches New Flagship AI Model with Coding Focus
DeepSeek unveils its latest flagship AI model featuring enhanced coding capabilities, positioning itself as a competitive alternative in the rapidly evolving
#coding
NCCL Plugin for Multi-Subnet RDMA Triangle Mesh
The NCCL Plugin for Multi-Subnet RDMA Triangle Mesh enables high-performance GPU communication across multiple network subnets using Remote Direct Memory
#coding
DeepSeek V3 on 16x AMD MI50 GPUs: Budget Setup Guide
A comprehensive guide to deploying DeepSeek V3 language model on a budget-friendly cluster of 16 AMD MI50 GPUs, covering hardware setup, software
#prompting
DTS: Parallel Beam Search for Dialogue Strategies
The paper presents DTS, a method using parallel beam search to efficiently optimize dialogue strategies by exploring multiple conversation paths simultaneously
#ai-tools
OpenAI-to-Claude API Wrapper for Tool Compatibility
OpenAI-to-Claude API Wrapper enables seamless tool compatibility by translating OpenAI API calls to work with Claude's API, allowing developers to switch
#claude#coding
NousResearch Boosts Qwen3-14B Coding to 68% Pass@1
NousResearch enhances Qwen3-14B's coding performance to achieve 68% pass@1 rate through advanced fine-tuning techniques and optimization strategies for
#learning#coding
ik_llama.cpp Unlocks Real Multi-GPU Performance
ik_llama.cpp delivers breakthrough multi-GPU performance for large language models, enabling efficient parallel processing across multiple graphics cards for
#ai-tools
iOS Dev Starter Kit for Claude Code with MCP
The iOS Dev Starter Kit for Claude Code with MCP provides developers with essential tools and configurations to streamline iOS application development through
#claude#coding
Anthropic Launches Free Claude Coding Course
Anthropic has released a free comprehensive coding course that teaches developers how to build applications using Claude AI, covering prompting techniques, API
#claude#prompting#coding
Built a Winamp Visualizer with Claude, Zero Code Skills
A developer with no coding experience collaborates with Claude AI to build a functional Winamp-style music visualizer, demonstrating how AI assistants can
#claude#learning#coding
Maincoder-1B: 76% HumanEval in 1B Parameters
Maincoder-1B achieves 76% on HumanEval with just 1 billion parameters, demonstrating exceptional code generation efficiency in a compact model architecture.
#coding
Built Full RTS in UE5 w/ Claude (Zero Coding Skills)
A game developer with no coding experience used Claude AI to build a complete real-time strategy game in Unreal Engine 5, demonstrating how AI assistance
#claude#learning#coding
Framework for Choosing LLMs by Hardware Constraints
A practical framework that helps developers and organizations select the most appropriate large language model based on available hardware resources, memory
#ai-tools
Kimi-Linear Q2_K Quantization Fixed in llama.cpp
The Kimi-Linear Q2_K quantization issue in llama.cpp has been resolved, fixing model loading and inference problems for users running Kimi models with 2-bit
#ai-tools
SWE-rebench: Real-World Coding Benchmark for LLMs
SWE-rebench is a real-world coding benchmark that evaluates large language models on their ability to solve authentic software engineering tasks from
#coding
Running Meta's SAM-Audio on 4GB GPUs with AudioGhost
AudioGhost enables running Meta's SAM-Audio model on 4GB GPUs through memory optimization techniques, making advanced audio segmentation accessible on consumer
#prompting#coding
GLM-4 9B GGUF Quantization In Progress
GLM-4 9B GGUF quantization is currently underway, converting the model into optimized GGUF format for efficient local deployment and reduced memory usage.
#ai-tools
Teen Built 50K-User Platform With Just 10 Lines of Code
A teenage developer created a platform that attracted 50,000 users using only 10 lines of code, demonstrating how minimal code can achieve maximum impact
#chatgpt#claude#prompting#learning#coding
AI Coding Tools Now Age Faster Than Milk
An article examining how AI coding tools rapidly become obsolete, with new versions and competitors emerging so quickly that today's cutting-edge solutions are
#claude#coding
Google Releases Gemma Scope 2 for Model Interpretability
Google releases Gemma Scope 2, an advanced interpretability tool that helps researchers understand and analyze the internal workings of AI language models
#coding
Vibe vs Claude Code: Near-Identical SWE-Bench Results
Vibe and Claude Code achieve nearly identical performance on the SWE-Bench coding benchmark, demonstrating comparable capabilities in solving real-world
#claude#coding
FlashHead: 4× Faster LLM Inference with IR-Based Head
FlashHead accelerates large language model inference by up to four times using an information retrieval-based attention head mechanism that reduces
#ai-tools
NVIDIA Model Optimizer: PTQ Cuts Latency Without Retraining
NVIDIA Model Optimizer converts FP16/FP32 models to INT8/INT4 for faster inference without retraining, using post-training quantization techniques.
#coding
Claude Code Hooks for Pre-Commit Security Scanning
Claude Code supports custom hooks that run before commits, enabling automatic secret scanning and code quality checks without manual intervention.
#claude#coding
ClickHouse PostgreSQL SSRF to RCE Chain Testing
Security researchers demonstrate exploiting ClickHouse's PostgreSQL integration to chain Server-Side Request Forgery vulnerabilities with Remote Code Execution
#coding
Converting Firefox HTML5 Parser: Java to C++
Mozilla engineers describe the technical process and challenges of converting the Firefox HTML5 parser from Java to C++ to improve browser performance and
#coding
Debug LangChain Agents with LangSmith CLI
Learn how to debug LangChain agents using the LangSmith CLI tool to trace execution, inspect intermediate steps, and identify errors in agent workflows
#ai-tools
FunctionGemma: Lightweight API Automation for Edge
FunctionGemma is a lightweight API automation framework designed for edge computing environments, enabling efficient function execution and API orchestration
#prompting
Monitor Distributed Training with NCCL Inspector
NCCL Inspector monitors and troubleshoots distributed deep learning training by analyzing NCCL communication patterns, detecting bottlenecks, and providing
#ai-tools
Reduce CUDA Binary Bloat via Kernel Consolidation
Explores techniques for reducing CUDA binary size by consolidating multiple similar kernels into parameterized versions, decreasing compilation time and
#ai-tools
Voice-to-Code Browser Apps with Claude Code
Claude Code enables developers to build browser applications through voice commands, converting spoken instructions into functional code using AI-powered
#claude#coding
Local LLM Filters Gmail for Priority Notifications
A developer creates a local LLM-powered system that filters Gmail messages and sends notifications only for important emails, reducing notification fatigue
#prompting
Students Train SOTA Code Models on Single GPUs
Researchers demonstrate how students can train state-of-the-art code generation models on single consumer GPUs using novel optimization techniques and
#coding
Building Enterprise AI Rigs with Consumer Hardware
This guide explores how to build cost-effective enterprise-grade AI workstations using consumer hardware components, covering GPU selection, system
#prompting