Learn how 'tessl-audit' helps secure AI agent plugins by scanning for vulnerabilities, assessing quality, and ensuring plugins enhance agent performance.
Learn how to manage Tessl organizations, workspaces, and roles, including user invitations, policy settings, and workspace creation for efficient team collaboration.
Explore three types of AI agents, focusing on browser-native agents and their potential to transform AI workflows by operating directly within web environments.
WebMCP is a proposed API standard by Chrome to improve AI agent interactions with web apps by providing interfaces that communicate capabilities, reducing errors and costs.
Cosmos by Augment Code provides AI coding teams with shared memory and context, enabling coordinated agent tasks and knowledge reuse across development environments.
GPT-5.5 is OpenAI's most capable model, but its 63% higher cost offers minimal performance gains over GPT-5.4, making it less cost-effective for most tasks.
Explore why coding agents need runtime intelligence to avoid costly production errors, focusing on the gap between static code understanding and real-world execution.
Warp open-sources its terminal client, leveraging AI agents and community input to redefine software development, focusing on task coordination and output verification.
OpenAI's Symphony, an open-source spec, orchestrates Codex agents for coding tasks, automating workflows from issue tracking to pull requests with human review.
Explore common pitfalls in AI skills development, including outdated agent config files, and learn strategies to address these issues for better procedural knowledge management.
Anthropic's postmortem reveals Claude Code's decline was due to prompt changes, caching bugs, and reasoning adjustments, highlighting how small system tweaks can impact AI tools.
Cursor partners with Chainguard to secure open-source dependencies in AI-generated code, addressing supply chain risks as AI tools automate software production.
