LanceDB introduces versioned context memory for multimodal AI agents, enabling persistent, replayable agent state across tasks with a versioned dataset approach.
Explore the 'Ralph Wiggum' AI coding method, a looping technique prioritizing persistence, enabling agents to handle tasks until completion.
Tessl improved agent accuracy on the Bowser npm library by 1.63× using structured context tiles, boosting success from 57% to 93% by providing explicit, versioned API context.
Boost agent accuracy by up to 3.3X with Tessl, tackling API misuse and enhancing adherence to public library interfaces for robust, maintainable code.
Discover why evaluation suites are essential for ensuring AI agents effectively use your tools, enhancing both developer productivity and software reliability.
Ollama enables Claude Code to run locally on open-weight models, giving developers control over costs, data, and deployment without relying on Anthropic's cloud.
Kilo Code’s new Slack integration connects chat and coding by allowing AI agents to turn team discussions into concrete code changes while preserving context.
Boost coding agents' Go proficiency with Tessl's context engineering, achieving 100% success, faster execution, and lower costs by leveraging up-to-date documentation.
The word "agentic" does actually mean something.
Anthropic has open-sourced a code-simplifier agent used internally by the Claude Code team, with a focus on rewriting existing code to reduce duplication, clarify logic, and make projects easier to maintain.
This article explores the nuanced role of AI in cybersecurity, highlighting its limitations in vulnerability detection and emphasizing the persistent challenge of fixing identified issues in security workflows.
Google is make its Jules coding agent more "proactive," allowing it to surface tasks and respond to events without being explicitly invoked by developers.
