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#agents

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Curated view of this subject:Topic: Agents339
1

Metrics Board: Building an Agent-ready Metrics Layer (opens on the source site)

Michele Ceccacci; Software Engineer I | Jason Coffman; Sr. Software Engineer | Colm O’Shaughnessy; Software Engineer II | Laura Palmer; Staff Product Manager | Adam Podraza; Manager, Engineering | Surya Karri; Manager, EngineeringAt Pinterest, reliable and trustworthy metrics are behind every decision: from measuring company-wide business performance to evaluating each feature experiment results. Hundreds of data producers — analysts, data scientists, and engineers across Pinterest — create thousands of metrics from our petabyte scale data lake. A metrics ecosystem this size can’t be ad hoc;…

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8

Meet the Ecosystem: Partners and Customers at WeAreDevelopers with Docker (opens on the source site)

Meet the partners and customers bringing practical AI, security, and development sessions to the Docker Pavilion at WeAreDevelopers. The post explains why a strong ecosystem matters to developers, announces the sessions and speakers, and invites attendees to connect with the teams building and using these technologies.

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10

Unveiling good and bad behaviors on the Agentic Internet (opens on the source site)

Cloudflare is shifting bot mitigation from point-in-time Risk assessment to continuous Trust evaluation. Learn how new good and bad behaviors from bots and agents are assessed by our systems, including BotBase and Precursor — and try out our Precursor Trace simulation to see how your own cursor movements would be assessed as human or bot.

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11

Unifying Workers AI and AI Gateway into a single AI control plane (opens on the source site)

Cloudflare is unifying AI Gateway and Workers AI into a single control plane, giving developers observability, billing, and dynamic routing across both managed GPUs and external providers. Learn how unified bindings and model-first routing simplify building resilient AI applications.

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Redred-lang.org ↗X

Static linking support (opens on the source site)

We must free ourselves of the hope that the sea will ever rest. We must learn to sail in high winds. -Aristotle Onassis The coding agents revolution is taking the world by storm and we are right in the middle of it. Like most of you, we have experimented with the agent's amazing (and frustrating) capabilities, pondering the role of Red and our vision in that new world. The conclusion is (un)surprisingly clear, Red is still very relevant and will be even more so as we improve it to better work with agents. In the meantime, here are some treats, starting with expanding our toolchain to support…

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19

Tokensparsamkeit for coding assistants (opens on the source site)

Good engineers make decisions based on data. Most businesses assumed that the more data, the better the decision. Then, several factors put a halt to the hoarding of ever more data. GDPR and its localized counterparts, and the cost of storage. However, before the GDPR came into effect, the Datensparsamkeit approach already existed. Datensparsamkeit is a German word that’s difficult to translate properly into English.

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20

Designing a team of agents (opens on the source site)

I continue to experiment with AI in the context of software engineering. I’m fortunate that my team supports me in exploring different ways to improve our daily work. This week, I designed a team of autonomous agents to implement features, from design to implementation. Why autonomous agents? A long time ago, we were delighted when the IDE offered auto-completion. In the previous two years, things have changed. A lot. Coding assistants have become our primary interfaces for coding.

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