EasyCode
About EasyCode
EasyCode is an early-stage, VC-funded startup that operates predominantly remotely with occasional in-person meetings. It describes itself as the place Where vibe coders finish their projects. EasyCode operates in the developer tooling / AI-assisted development space and is seeking to hire a founding engineer to join its team.
Company at a glance
Location
Culture & values
The company emphasizes a 'vibe coders finish their projects' culture.
Predominantly remote with occasional in-person meetings, and this is not expected to change in the near future.
Work hours are flexible outside of core hours for meetings and collaboration.
You will see the direct impact of your work on users days after shipping.
They avoid micromanagement and prefer to provide freedom and autonomy, paired with accountability.
Life at EasyCode
Frequently asked questions
Companies similar to EasyCode
Ambi is building the interface for the AI era - software and hardware that move at the speed of thought. We're creating a living memory system that turns conversations, meetings, and daily signals into one connected knowledge base, across phone, watch, and desktop. Backed and early-stage, headquartered in San Francisco with hybrid flexibility - this is a ground-floor seat on category-defining hardware.
Arbio, headquartered in Berlin, Germany, is building an AI-native property management platform for short-term rentals across Europe. It currently manages over 1,000 apartments and operates real properties in Berlin, Hamburg, Vienna, and Leipzig, with plans to expand to additional European cities. The company has raised a $36 million Series A funding and maintains an engineering team of five engineers. Arbio’s platform uses AI to observe, decide, and act on real-world property operations with humans in the loop, enabling AI-assisted management of short-term rental properties across Europe.
Arga Labs provides isolated sandbox environments equipped with API twins of third-party services, enabling developers and organizations to safely test and train AI agents without risking their production systems. By offering a controlled testing ground that mirrors real-world APIs, the company allows teams to experiment with AI implementations, validate workflows, and refine agent behavior in a risk-free setting. This approach addresses a critical need in AI development, where testing in live environments can introduce costly errors or security vulnerabilities.