Code Editors & IDEs

Code editors, IDEs and developer utilities for writing, packaging and inspecting code.

79 results in Code Editors & IDEs

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WakapiCode Editors & IDEsWakapi is an MIT-licensed Go server that receives heartbeats from WakaTime editor plugins and turns them into coding statistics, badges, leaderboards, weekly reports and Prometheus metrics. Self-host it or use wakapi.dev.Open sourceSelf-hostedFreemium

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0 views4,474 stars

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WarpCode Editors & IDEsRust terminal that groups commands into blocks, with a built-in coding agent, code review, Warp Drive and cloud agents. The client is AGPL-3.0 on GitHub; the agent harness and cloud services are hosted by Warp.Open sourceSoftwareFreemium

Views · 7 daysTop 29%

1 views65,900 stars

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WWazaAI Skills & PluginsWaza is a set of eight installable skills for AI coding agents covering planning, UI, review, debugging, writing, research, reading and setup audits.Open sourceSoftware

Views · 7 daysTop 16%

2 views7,523 stars

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ZedCode Editors & IDEsZed is an open source code editor from Zed Industries, written in Rust for speed, with AI agent editing, real-time collaboration and native Git support.Open sourceSoftwareFreemium

Views · 7 daysTop 5%

5 views93,546 stars

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2 matching tools from this category

How to choose code editors & ides tools

This category gathers the tools developers keep open while writing and inspecting code: editors, command-line utilities, file converters, reverse engineering frameworks, duplicate code detectors, local log viewers and add-ons for AI coding agents. Those add-ons include skills, which package instructions and scripts an assistant loads for a specific task, plugins that extend an agent's interface, and desktop apps that run several agents in parallel. CI services and API testing tools live in their own categories.

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Who uses these tools

Software engineers working in editors and terminals
Developers running AI coding agents daily
Reverse engineers inspecting compiled programs

Capabilities to compare

Editor, terminal and agent integration points
Local versus cloud model execution
Language and file format coverage
Context management for AI coding sessions
Scriptable CLI and automation hooks

Operating considerations

Agent add-ons may run shell commands unattended
Source code sent to external model providers
Token costs from verbose agent context
Small maintainer projects can stall without notice

Selection checklist

Read which files, commands and network access a plugin or skill requests before installing it.
Check whether code and prompts stay local or are sent to a third-party model provider.
Try the tool on a real repository of your size, not a sample project, to judge speed.
Look at commit activity and open issues to judge whether the project is still maintained.

What belongs in this category: A product belongs here when developers use it directly on their own machine or inside their editor to write, navigate, convert, analyse or assist with code, rather than to build, deploy or host it.