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Search results for “Coding Agents”

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247 results for “Coding Agents”

  1. OpenHands turns coding agents into a controllable platform

    #OpenHands#Agent Canvas#Coding Agents

    is a concrete developer tool for teams that want to run coding agents as repeatable engineering automation, not just try them in an editor. The platform positions itself as an open, model-agnostic environment for cloud

  2. Cline: the open coding agent for editor, CLI and MCP

    #Cline#AI Coding Agent#Developer Tools

    What this is about Cline is an open-source coding agent for developers who want their editor to be more than an autocomplete window. The tool runs as an IDE extension, CLI, SDK and, now, in multi-agent workflows such as

  3. Kiro turns specifications into the work plan for coding agents

    #Kiro#AWS#Coding Agents

    drafts, and sequenced tasks. That matters because coding agents in 2026 can work quickly, but without a clear specification they often optimize the wrong thing. The timing fits the market. Many teams are testing parallel

  4. OWASP: prompt injection remains the weak spot of AI agents

    #OWASP#Agentic AI#Prompt Injection

    six of OWASP’s ten categories for agentic applications. Coding agents matter especially because they can access code, repositories, package managers and sometimes production systems. What the OWASP report actually does

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

    #OpenHands#Coding Agent#Developer Tools

    What OpenHands actually does OpenHands provides a coding agent that can work with repositories, tasks and development environments. The CLI is aimed at people who work from the terminal. The local GUI is meant for longer

  6. OpenCode brings coding agents to terminal, IDE, and desktop

    #OpenCode#Coding Agents#Developer Tools

    What this is about OpenCode is an open-source coding agent from Anomaly that can be used in the terminal, as a desktop app, and as an IDE extension. The official site describes it as an agent that helps write code and

  7. HalluSquatting turns AI hallucinations into a delivery path

    #AI Security#HalluSquatting#Coding Agents

    a normal hallucination where only an answer is wrong. For agents with terminal access, repository access or skill installation, an invented name can become a real action. The agent may then fetch not just bad

  8. TrustFall exposes the one-keypress risk in coding agents

    #AI Security#Coding Agents#MCP

    and other local sources may be reachable. Why it matters Coding agents are used exactly where sensitive data lives: source code, deployment scripts, cloud credentials and product secrets. The old developer rule was:

  9. Cursor 3.7 Makes Agent Context Easier to Inspect

    #Cursor#AI Coding#Developer Tools

    may sound dry, but it matters for real software work. Many coding agents fail not because the model is generally too weak, but because too much, too little, or the wrong context reaches the prompt. Cursor lists system

  10. Qwen3.7-Max shows how long-running coding agents may work

    #Qwen#Alibaba#Coding Agents

    Anthropic-compatible interfaces. Its focus is agent work: coding, tool use, office automation and long autonomous runtimes. In the kernel test, the model optimized a Triton reference implementation for hardware-based

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