
Sublime Text
Vim
Notepad++
Node.js
Microsoft Visual Studio
GitHub
IntelliJ IDEA
Build and debug modern web and cloud applications, by Microsoft

Maple.dev
Datadog
Helicone AI
SigNoz
LangChain
LangSmith
NewRelic
LLM observability platform with an open source SDK that traces every AI agent call

Which is more popular?
Based on our record, VS Code seems to be more popular. It has been mentioned 1220 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | code.visualstudio.com | ambertrace.dev |
| Pricing | ||
| Company | Startup from the United States | Startup from Usa & Portugal · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of VS Code yet.
LLM observability platform with an open source SDK that traces every AI agent call, token usage, and failures across OpenAI, Anthropic, and Google. Key capabilities: auto-patches OpenAI, Anthropic, and Google clients with no wrappers or decorators; unified multi-provider dashboard; token usage...
What each product offers, as listed by its team.


Possible disadvantages
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An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
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Walkthroughs and reviews on video.
My New Favorite Text Editor - Visual Studio Code
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing VS Code and Ambertrace.dev.
Ambertrace.dev's answer:
Ambertrace is the only LLM observability platform that instruments OpenAI, Anthropic, and Google with genuinely zero code changes: you need to add just two lines of code, no wrappers, no decorators, no middleware. The SDK auto-patches provider clients at initialization, captures every request, response, token count, and latency metric, then sends trace data asynchronously in background threads with approximately 1–2ms overhead. Most competing tools either require framework-specific plugins, manual span creation, or lock you into a single provider ecosystem. Ambertrace works at the provider SDK level, which means it traces everything regardless of whether you use LangChain, LlamaIndex, CrewAI, or custom agent code.
Ambertrace.dev's answer:
Ambertrace.dev's answer:
Three reasons:
First, setup friction: Ambertrace takes under 5 minutes to instrument an entire application. There are no config files, no environment variables to chain together, no framework-specific setup guides to follow. You install the package, call init(), and every LLM call is traced.
Second, no vendor lock-in: AmberTrace normalizes traces across OpenAI, Anthropic, and Google into a single unified format. You can compare cost, latency, and error rates across providers in one dashboard - critical for teams evaluating or switching models.
Third, deployment flexibility: the SDKs are open-source, and you can choose between our managed cloud or self-hosting on your own infrastructure. Competitors typically force you into one or the other. Ambertrace also uses usage-based pricing rather than per-seat pricing, so your entire team gets access without costs scaling linearly with headcount.
Ambertrace.dev's answer:
Ambertrace was born from firsthand frustration. While building AI agents in production, we kept hitting the same wall: an AI agent would return a confidently wrong answer after burning through thousands of tokens, and our logs would show nothing but a series of successful HTTP 200 responses. Traditional APM tools tracked requests and database queries perfectly, but they were completely blind to what mattered in LLM applications - the reasoning chains, the token economics, the silent failures. We looked at existing solutions and found they either required heavy framework-specific integration, locked you into one provider, or were enterprise APM add-ons that cost more than our entire infrastructure. So we built Ambertrace: a lightweight, provider-agnostic observability layer that any developer can add in two lines of code. We open-sourced the SDKs because we believe the instrumentation layer running inside your application should be transparent and trustworthy
Ambertrace.dev's answer:
Share your experience with using VS Code and Ambertrace.dev. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


If you're a Windows DBA who mainly manages servers, SSMS is still hard to beat. SQL Server Data Tools makes the most sense for teams building database projects in Visual Studio, Visual Studio Code with the MSSQL...
Visual Studio Code, commonly known as VS Code, is a powerful and extensible code editor developed by Microsoft. With its rich ecosystem of extensions and features like IntelliSense, debugging, and Git integration, VS...
Finally, the Visual Studio Code website has numerous tabs for you to learn about the software. The documentation page walks you through steps like the setup and working with different languages. You’re also able to...
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Recommendations tracked on public social media and blogs since March 2021.


Your editor of choice works fine here. VS Code with the TypeScript extension catches type errors early, and WebStorm and Sublime Text are solid alternatives. Install jq if you want to inspect API responses from the terminal without... - Source: dev.to / about 16 hours ago
Download VS Code from code.visualstudio.com, unzip it, and drag it into Applications. Running it from the Downloads folder causes update problems later. - Source: dev.to / 11 days ago
Coming from VS Code, the editor feels familiar, and I like having the AI features right there alongside my code. - Source: dev.to / 17 days ago
Tracking Ambertrace.dev since Feb 2026.
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