Run multiple AI coding agents in parallel from one workspace. Plan tasks, track every session, and ship faster with full oversight.
High-Quality Voice Cloning TTS for 600+ Languages
Almost every day, there’s at least one post complaining about Copilot "small" context windows for models. I’ll show you how to use subagents...
Fully automatic censorship removal for language models - p-e-w/heretic
Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot. - github/awesome-copilot
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere. - dan...
Fabric is an open-source CLI/GUI framework augmenting humans via modular AI prompts (patterns) for tasks like summarizing, extracting wisdom from YouTube, code review, and image generation. Supports providers like OpenAI, Anthropic, Gemini; features web search, TTS, i18n, notifications. Community-driven with rapid updates, custom patterns, and integrations. Install via curl/Go; emphasizes prompt organization to integrate AI into daily life without app overload.
If you’ve ever used GitHub Copilot for more than a quick boilerplate snippet, you’ve probably felt...
GitHub Copilot personas (junior/senior/architect) tailor code style/complexity for real dev.
A new convention is emerging in the open-source ecosystem: AGENTS.md, a straightforward and open format designed to assist AI coding agents in software development. Already adopted by more than 20,000
AGENTS.md standardizes AI coding agent configs as Markdown, emerging as open spec. Defines roles, tools, env vars, memory for reproducible agents across frameworks. Adopted by Cursor/Devin-like tools for interoperability.
Stop context switching. Factory integrates code, documentation, and discussions in one intelligent workspace.
AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.
Hello! If you are seeing this you are either early or currently attending my talk at DataEngBytes. Learning how to build an agent is one of the best things you can do for your personal development. Cursor, Windsurf, Claude Code and Ampcode.com are 300 lines of code running in a while true loop. Learn how to build your own agent
Free workshop: Building a coding agent.
Is GPT-5 Mini the most underrated AI model? Our deep dive analyzes its groundbreaking price, speed, and surprising intelligence. Discover why it's a game-changer.
GPT-5 Mini excels in price/speed/power: $0.25/M input, $2/M output (5x cheaper GPT-5), cached inputs $0.025/M. 170 TPS throughput (fast streaming), 14s TTFT (fine non-realtime). 64 Intelligence Index: strong MMLU-Pro (83%), GPQA (80%), coding (69%). 400k context, multimodal. Ideal customer service, content, automation. Underrated workhorse.
Mastering the Art of Prompt Engineering with GPT-4 Models Prompt engineering is an emerging discipline in the world of AI, particularly with the advent of advanced language models like GPT-4. This …
Master GPT-4 prompts: clear instructions/reference text/split tasks/demos/think steps/tools/test changes. Tactics: details/persona/delimiters/steps/examples/length control. Examples: travel guide/persona physics/steps French Rev/summary Curie. Experiment iteratively.
A personal guide on using AI Code Prep GUI, Cline, and various free AI web interfaces like Gemini, Grok, Deepseek, and Poe for cost-effective coding and debugging.
This guide details a budget coding workflow using free AI web interfaces like GLM 4.5, Kimi K2, Qwen3, Gemini, Poe, and more in browser tabs for superior problem-solving over IDE agents. AI Code Prep GUI scans projects, curates relevant files into prompts avoiding context overload. Paste into multiple AIs for perspectives, then use solutions in Cline or agents. Models excel at tasks; web chats outperform tool-heavy agents.
From creative ruts to self-doubt spirals, these helpe me break through
AI prompt engineering workbench for crafting, testing, and systematically evaluating prompts with powerful analysis tools. - insaaniManav/prompt-forge
Discover the Missing Guide to Prompt Engineering: practical frameworks to craft effective AI prompts, dodge common pitfalls, and future-proof your workflow.
Prompt engineering isn't going anywhere. People keep saying it's dead, that the next model will make it obsolete. They said the same thing about ChatGPT 4, then Claude, then Gemini Pro. Even though the AI models are becoming more powerful each day, a poorly prompted AI response could hinder your ability to get the right results.