Articles

  • 2 days ago | thenewstack.io | Frederic Lardinois

    Augment Code, the AI coding tool that specifically targets professional developers, recently previewed a feature it calls Remote Agents. These AI agents extend Augment Code’s existing code completion and chat features in a way that’s not unlike GitHub’s recently announced Coding Agent.

  • 4 days ago | thenewstack.io | Frederic Lardinois

    In application security, one of the promises of AI agents is that they will be able to test and scan your code for vulnerabilities 24/7 — and then fix any issues autonomously, whether during the development phase or in production. We’re not quite there yet, but plenty of startups and incumbents are making a run at this. One of the startups in this space is Aptori, which is building an AI security engineer for the enterprise.

  • 4 days ago | thenewstack.io | Frederic Lardinois

    While talk about AI agents is seemingly everywhere, seeing them in production is actually still relatively rare. In part, that’s because a lot of the tooling around building, testing and deploying them remains a work in progress, making it harder for developers to ensure that these agents don’t just work in a demo but are ready for production.

  • 1 week ago | thenewstack.io | Frederic Lardinois

    Traceloop today launched its observability tool for LLM-based applications into general availability and also announced a $6.1 million seed funding round led by Sorenson Capital and Ibex Investors. One of the problems of building on top of large language models (LLMs) is that they are probabilistic. Without the right tooling, you can’t always know if something that worked today is guaranteed to work tomorrow.

  • 2 weeks ago | thenewstack.io | Frederic Lardinois

    SAN FRANCISCO — At its first developers conference, Code with Claude, AI company Anthropic today launched the latest versions of its large language models (LLMs): Claude Opus 4 and Claude Sonnet 4. These updates promise significant advancements for developers and engineering teams, particularly in coding and long-context reasoning.

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