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Compare/Async IDE vs Trae

Async IDEvsTrae

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Async IDE
ZYKJShadow · AI-native IDE
#37OSSMCP
Panel
6.4
2 spec wins
Reliability
5.7
Usefulness
6.5
Cost
8.2
Longevity
5.3

“It bridges to Telegram, Slack, Discord and Feishu, so four separate apps can now tell you the build is broken.”

Trae
ByteDance · AI-native IDE
#79MCP
Panel
5.9
1 spec wins
Reliability
5.3
Usefulness
6.2
Cost
6.5
Longevity
5.5

“The $3 Lite plan is the cheapest seat on this board, courtesy of a parent company that never needed you to pay for anything.”

Spec by spec

SpecAsync IDETrae
Architecture
CategoryAI-native IDEAI-native IDE
Runslocallocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlYesBrowser automation with custom headers and fingerprint is one of the built-in tools. YesAI can drive TraeCode's built-in browser tab - opening pages, clicking, filling forms and validating rendering - or an external Chrome instance, once enabled under Settings > Browser (https://docs.trae.ai/ide/browser-use). The built-in Chat agent cannot control the browser.
Sandboxed executionNoYesAgent commands run in a restricted, isolated environment with per-project filesystem and network policy in ~/.trae/sandbox.json; Linux isolation is implemented via bubblewrap, and allowlisted command prefixes deliberately bypass the sandbox.
Multi-agent orchestrationYesAgent and Team toolchains are shared with the IM bot bridge, each with its own model, workspace and allowlist config. Yes
Headless / CI modeNoNoConfirmed false: Trae ships only the desktop IDE; no CLI, print/exec mode or CI runner appears anywhere in the documentation index.
Models
BackboneAnthropic, OpenAI, Gemini, Ollama, vLLM, any OpenAI-compatible endpointGemini, GPT, DeepSeek
Bring your own modelYesYes
Local modelsYesYesThe custom-model flow accepts an arbitrary API format, request URL and key, so any self-hosted OpenAI- or Anthropic-compatible endpoint works alongside the preset providers.
Cost
Pricing modelbyokmixed
Starts at$0/mo$3/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesNo
LicenseApache-2.0proprietary
GitHub stars474n/a

Which one would each critic pick

CriticAsync IDETraePick
El Juez——not enough reviews
El Amigo6.86.8no preference
El Crítico6.05.8Async IDE — It is an editor written from scratch on Electron and Monaco rather than forked from VS Code, so it inherits none of the extension catalogue its users already depend on.
El Profesor7.05.5Async IDE — The control loop is named and exposed: Think, Plan, Execute, Observe, with each stage visible and interruptible rather than collapsed into one opaque completion.
La Inversora5.85.8no preference
La Jefa5.35.5Trae — Enterprise means contacting BytePlus, the pricing page lists no SSO or audit log, and the security questionnaire's first question is where the prompts go; not yet.
El Hacker7.86.0Async IDE — Apache-2.0, Ollama and vLLM named directly rather than implied, MCP servers attach, and each agent carries its own model, workspace and allowlist.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.