How-To Guides
17 articles
Writing with LLMs: A practical guide to better AI-assisted composition
A comprehensive guide on effective writing techniques when using large language models, covering strategies to improve output quality and maintain authentic voice in AI-assisted writing.
GPT-5.6 Luna vs GPT-6 Astra. A $1.20 model catches 75% of bugs.
A Reddit benchmark tested two models on 50 real pull requests. Astra found more bugs overall, but Luna achieved 75% of its accuracy at just 3.6% of the cost.
AI Workflows Promise Automation. Reality Demands Expertise.
A Reddit discussion surfaces a persistent pain point: multi-agent AI systems look seamless in demos but demand significant setup complexity in practice. Users question whether the operational burden outweighs actual productivity gains.
Spotify's Portal slashed Claude Code tokens by 90%. Here's how.
Spotify engineering published a case study showing Portal, their internal tool, reduced Claude Code token consumption dramatically. The real performance metrics reveal significant cost implications for organizations using AI coding assistants.
Claude gets system prompts. Developers can now shape model behavior at scale.
Anthropic released a system prompts feature for Claude, allowing developers to define consistent behavior patterns across API calls without prompt engineering for each interaction.
Developer trains 125M model for piano autocomplete. It runs on-device at 108 notes per second.
A transformer-based MIDI autocomplete system brings Copilot-style assistance to piano performers, running efficiently on iPhone 15 with real-time inference. The 125M-parameter model demonstrates how code completion patterns can translate to musical performance.
LLMs as learning tools. A developer shares his technique for mastering difficult subjects.
A practical guide on using large language models to break down and understand complex topics, with strategies for deeper learning beyond surface-level answers.
Retyping LLM code manually. The friction builds understanding.
A developer argues that manually retyping code generated by AI tools like Claude and ChatGPT prevents cognitive debt by forcing deeper engagement with the code logic rather than mindlessly accepting suggestions.
Bento turns PowerPoint into one shareable HTML file. Edit, view, and collaborate without leaving the browser.
Bento is a web-based presentation tool that packages entire slideshows into single HTML files, integrating with Claude Code for AI-assisted editing and real-time collaboration without manual code intervention.
Claude has a verbal tic. Here's how to fix it.
A developer discovered that Claude frequently overuses the phrase "load-bearing" in responses. A practical prompting technique can eliminate this quirk and improve output quality.
Run state-of-the-art LLMs locally. Jamesob's guide eliminates cloud dependency.
A comprehensive guide on GitHub walks developers through running cutting-edge large language models on local machines without relying on cloud services, offering practical setup instructions and best practices.
Achieve 3,000 tokens/sec LLM inference on consumer GPUs
New optimization techniques enable real-time large language model inference on standard GPUs, reaching 3,000 tokens per second throughput. A technical deep-dive into performance improvements for consumer-grade hardware.
Using AI to Write Better Code More Slowly
A developer explores how AI coding assistants can improve code quality when used thoughtfully, even if they slow down the writing process initially.
Forge Boosts Local Model Agentic Task Accuracy to 99%
Forge is an open-source reliability layer that adds guardrails to self-hosted LLM tool-calling, improving an 8B model's performance from 53% to 99% on agentic tasks through retry logic, error recovery, and context management.
EvanFlow: TDD Feedback Loop for Claude Code
Open-source tool EvanFlow creates a test-driven development feedback loop optimized for Claude Code, helping developers improve code quality and accelerate iteration cycles.
CodeBurn: Monitor Claude Code Token Spending by Task
New open-source tool gives developers granular visibility into token consumption across Claude Code agents, solving cost tracking problems for teams spending $1400+ weekly on AI-powered coding.
Run Gemma 4 Locally with LM Studio's New CLI
LM Studio's headless CLI now exposes Gemma 4 as an OpenAI-compatible API endpoint, letting you build a local coding agent with zero cloud costs and complete data privacy. Setup takes 10-20 minutes.