Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

Princeton’s CEO-Bench gave 14 AI models $1 million to run a simulated SaaS startup for 500 days. Most went bankrupt or lost ...

Try out the examples in the examples folder using the binder service. The package can also be installed on Google Colab using the commands: The easiest way to get started with the Control Systems ...

All my agents needed was a little bit of codified workflows to follow ...

An agentic coding tool tasked with cloning and setting up a seemingly benign GitHub repository could execute a malicious ...

Companies are still experimenting with automated AI systems to find security weaknesses, but fewer are relying on the ...

Report do def user_age_to_string(user) do Integer.to_string(user.age) end end # An anderer Stelle im Projekt: Report.user_age_to_string(%{age: "42"}) Integer.to_string/1 is Elixir's usual notation for ...

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place. You can start Jupyter Notebook ...

Connect all your configuration files and autogenerate code—Jsonnet is the missing piece for large code bases.

CData Software is launching three products for developers building AI applications on enterprise data: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData CLI ...

Addressing the pervasive challenges within the software development lifecycle (SDLC), such as poorly defined requirements, ...

Startup founders are using ChatGPT, Claude and other AI tools not to validate their ideas, but to attack them.