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AI Coding·2025Pick
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Claude Code

Anthropic

Lets developers delegate codebase work from terminal, IDE, desktop, web, Slack, or mobile. It reads projects, edits files, runs commands, opens PRs, and asks for permission before changing files or executing commands.

#ai-tools#ai-coding#vibe-coding#anthropic#mcp+1
AI Coding·2025Pick
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Codex

OpenAI

Autonomous coding agent that runs each task in its own cloud sandbox preloaded with your repo — writing features, fixing bugs, running tests, and opening PRs. Reachable from ChatGPT web, a CLI, desktop apps, and IDEs (VS Code, JetBrains, Xcode).

#codex#openai#ai-coding#LLM#ChatGPT+4
AI Agent Papers·2024
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SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

John Yang, Carlos E. Jimenez +5·Princeton Language and Intelligence, Princeton University

Treats the interface between an LM agent and a computer as a design variable. A custom agent-computer interface (ACI) with concise file-edit, repo-navigation, and test commands plus compact feedback reaches 12.5% pass@1 on SWE-bench, 87.7% on HumanEvalFix.

#paper#ai-agent#LLM#ai-coding#engineering
AI Coding Tutorials·2025
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Cursor Learn

Anysphere

Official tutorial hub teaching how to code effectively with AI agents inside Cursor, from AI foundations to working with agents and reviewing their output. Lessons cover rules, tools, context as working memory, and which tasks agents handle well.

#tutorial#ai-coding#IDE#ai-tools#ai-development
GitHub
AI Coding·2025
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OpenCode

sst, thdxr·Anomaly

Headless AI coding agent that runs a local HTTP server (OpenAPI 3.1) any client can drive — TUI, desktop, IDE plugins. Provider-agnostic: bring keys for any LLM, no vendor lock-in. Ships LSP-aware editing, plan/build agents, and shareable session links.

#ai-coding#ai-agent#github#ai-client#llm
MCP Client·2023
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Cursor

Anysphere Inc·Anysphere, Inc.

Turns natural-language tasks into edits, reviews, and agent runs inside a developer workspace. It pairs codebase indexing with model choice across editor, CLI, cloud agents, and PR review.

#ai-tools#ai-coding#IDE#vibe-coding
AI Coding·2024
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Augment Code

Augment Code, Inc.·Augment Computing, Inc.

Coordinates coding agents across triage, implementation, review, and verification for large engineering teams. Its context engine and enterprise controls focus on shared workflows rather than one developer's local assistant.

#ai-tools#ai-coding#vibe-coding#plugin#ai-agent
GitHub
AI API·2024
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Claude Quickstarts

Anthropic

Runnable starter projects for the Claude API you fork and adapt: a knowledge-base customer support agent, a financial analyst that charts results in chat, plus computer-use, browser-use, and autonomous-coding-agent reference implementations.

#anthropic#claude#ai-api#tutorial#ai-agent+4
GitHub
AI Client·2025
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cc-switch: All-in-One Assistant for Claude Code, Codex & Gemini CLI

Jason Young·Independent

Manages provider configs for seven coding CLIs (Claude Code, Codex, Gemini CLI, OpenCode and more) from one desktop app, so switching API endpoints no longer means hand-editing JSON, TOML, or .env files. Adds tray quick-switch and cloud sync.

#claude#gemini#openai#ai-tools#ai-client+7
GitHub
MCP Client·2021
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GitHub Copilot

GitHub, OpenAI·GitHub, OpenAI +1

Turns editor, CLI, and repository context into code suggestions, chat help, reviews, and autonomous coding tasks. Its edge is native workflow integration; teams still need review, policy, and security controls.

#ai-tools#ai-coding#vibe-coding#plugin
GitHub
AI Others·2017
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roadmap.sh (Developer Roadmap)

nilbuild, roadmap.sh community

Interactive, community-driven learning roadmaps and guides that map skills, technologies, and curated resources for developer career paths — covering frontend, backend, DevOps, ML/AI, MLOps, prompt engineering and more. Clickable nodes link to tutorials, best practices and question banks to guide study and hiring prep.

#github#ai#ai-development#mlops#prompt-engineering+1
GitHub
AI Coding Tutorials·2018
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build-your-own-x

Daniel Stefanovic, CodeCrafters, Inc.

Curates step-by-step, hands-on tutorials for reimplementing technologies from scratch—covering everything from OSs and compilers to neural networks, LLMs, and vision systems—so learners learn by rebuilding real systems across languages.

#github#tutorial#ai-coding#python#llm
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