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Search results for “Developer Tools”

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307 results for “Developer Tools”

  1. DBX connects database work to AI agents with clear permissions

    #DBX#Database Tools#MCP

    keeps drafting, review, and execution closer together. For developers, data analysts, and small platform teams, the combination of a graphical interface and MCP server is the main attraction. An agent can inspect

  2. OpenHands: a coding agent with CLI, local GUI and cloud

    #OpenHands#Coding Agent#Developer Tools

    For teams evaluating Claude Code, Codex or similar tools, OpenHands is therefore a useful candidate for a structured comparison. What OpenHands actually does OpenHands provides a coding agent that can work with

  3. Promptfoo tests prompts, agents, and RAGs before rollout

    #Promptfoo#AI Security#LLM Evaluation

    is interesting because it moves AI security closer to developer workflows: configuration, command line, pull requests, and repeatable tests instead of one-off workshops. The practical value is mostly in the fit with

  4. Continue remains an important coding tool after Cursor deal

    #Continue#Cursor#AI Coding

    What this is about Continue is an AI coding tool that developers can use as a VS Code extension, JetBrains plugin, and CLI. The official website now says Continue has been acquired by Cursor. At the same time, the GitHub

  5. VoltAgent organizes agent building in TypeScript and a console

    #VoltAgent#VoltOps#AI Agents

    is about VoltAgent is an AI agent engineering tool for developer teams that want to operate agents, not just experiment with them. The platform combines an open-source TypeScript framework with the VoltOps console, which

  6. Figma Code Layers brings real code onto the design canvas

    #Figma#Code Layers#Design Tools

    What this is about Figma announced several concrete tools for product teams at Config 2026 on June 24, 2026: Code Layers, Figma Motion, Shaders, generative plugins and Weave workflows. The most important part for teams

  7. New study detects AI agent failures with little extra cost

    #AI Agents#LLM Reliability#Agent Monitoring

    They loop, lose the goal, absorb corrupted content, call tools incorrectly, or fabricate results. The paper, "Real-Time Detection and Repair of LLM Agent Failures," asks whether those failures can be detected early

  8. Dyad builds AI apps locally instead of in a cloud box

    #Dyad#AI App Builder#Open Source AI

    and more control over sensitive project files. For developers, the value is different: Dyad can be a starting point, but it does not replace review, tests or clean architecture. In plain language Dyad is like a workbench

  9. Strix tests apps with autonomous pentest agents

    #Strix#AI Security#AppSec

    What this is about Strix is an agentic security tool for developer and security teams. It does not present itself as another static warning feed, but as autonomous pentest agents that dynamically inspect applications,

  10. Parallel builds web search for agents, not clicks

    #Parallel#AI Search#Research Tools

    of pages and adds or updates millions more daily. For developers, the important point is that the API is not meant to return only URLs. It is meant to return information in a form an agent can use: compact, structured,

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