#ai-coding-agents

#ai-coding-agents

Giving coding agents full access to all of Ramp's engineering tools is what makes Inspect truly innovative. Instead of only letting agents write basic code, Ramp's system runs in sandboxed virtual machines on Modal. It works seamlessly with databases, CI/CD pipelines, monitoring tools like Sentry and Datadog, feature flags, and communication platforms such as Slack and GitHub. Agents can write code and ensure it works by using the same testing and validation processes that engineers use every day.

On Monday, Anthropic released Claude Sonnet 4.5, a new AI language model the company calls its "most capable model to date," with improved coding and computer use capabilities. The company also revealed Claude Code 2.0, a command-line AI agent for developers, and the Claude Agent SDK, which is a tool developers can use to build their own AI coding agents.

Microsoft and GitHub have made AI assistance a key part of their software development tools. Embedded in the latest Visual Studio and Visual Studio Code releases, GitHub Copilot puts a multifaceted pair programmer-combining AI-powered code completion, coding agents, and various Model Context Protocol servers-right inside your editor. The resulting tool kit is especially useful as part of a well-designed application development life cycle. Outside of good software engineering practices, however, it's easy to let vibe coding run away with itself, adding features that aren't needed and making code overly complex.

Somewhere in the last few months, something fundamental shifted for me with autonomous AI coding agents. They've gone from a 'hey this is pretty neat' curiosity to something I genuinely can't imagine working without.