CodeAF is an open-source software factory designed for open models, aiming to optimize cost and efficiency in agentic coding workflows. Unlike traditional AI copilots that assist with line-by-line typing, CodeAF operates as a single terminal interface where users can delegate complex tasks, manage multiple projects simultaneously via subharnesses, and supervise autonomous "crews" of specialized agents (worker, planner, and checker). It is built in Go to be a lightweight, high-performance binary that supports various providers like OpenRouter, DeepSeek, Ollama, and Codex.
- Ranked #1 on the DeepSWE benchmark for cost efficiency per solved issue.
- Uses "Pareto Crewing" to automatically select different models for planning, working, and checking tasks based on performance/cost profiles.
- Supports a headless mode (`codeaf do`) designed specifically for CI/CD pipelines and automated workflows.
- Features a remote execution capability that allows users to drive the engine from any terminal or mobile device via SSH without network latency in UI rendering.
- Ranked #1 on the DeepSWE benchmark for cost efficiency per solved issue.
- Uses "Pareto Crewing" to automatically select different models for planning, working, and checking tasks based on performance/cost profiles.
- Supports a headless mode (`codeaf do`) designed specifically for CI/CD pipelines and automated workflows.
- Features a remote execution capability that allows users to drive the engine from any terminal or mobile device via SSH without network latency in UI rendering.
This guide covers how you can leverage AI tools to build AI-powered features for your Flutter apps and streamline your Flutter and Dart development.
The article provides a detailed cheat sheet for using GitHub Copilot Chat, including slash commands, chat variables, and chat participants to enhance coding efficiency and productivity.
```
/clear: Starts a new chat session.
/explain: Explains the code in the active editor.
/fix: Proposes a fix for code issues.
/fixTestFailure: Addresses failing tests.
/help: Offers a quick reference for using GitHub Copilot.
/new: Creates a new project.
/tests: Generates unit tests for selected code.
```
```
/clear: Starts a new chat session.
/explain: Explains the code in the active editor.
/fix: Proposes a fix for code issues.
/fixTestFailure: Addresses failing tests.
/help: Offers a quick reference for using GitHub Copilot.
/new: Creates a new project.
/tests: Generates unit tests for selected code.
```
Zed introduces edit prediction powered by Zeta, an open-source model that anticipates developers' next edits, enhancing efficiency. The feature allows users to apply predicted edits with a single keystroke, integrating seamlessly with existing functionalities like language server completions. The article also covers methodologies like supervised fine-tuning, direct preference optimization, and speculative decoding to minimize latency, ensuring a fast editing experience.
