Layer
We track 19 posts about Layer from 15 engineering blogs. Most active: Stack Overflow, Badoo, Nvidia. Latest post: Oct 7, 2026.
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Recent posts
Part 3: Knowing when your agent doesn’t know: the confidence layer (opens on the source site)
The most important number an agent produces isn’t its answer — it’s how sure it is. Compose that number from independent signals, check it’s calibrated, grade the high-stakes calls with a second model, and route the rest to humans well. This is Level 3 of a six-level maturity model for running LLM systems in production. Levels 1 and 2 got you to where the system works and you can see it working. Level 3 is confidence: the system acts on its own only when its calibrated confidence is high, grades the decisions that matter with an independent judge, and routes everything it’s unsure about to a…
Part 1: Make your AI agents boring: the determinism layer (opens on the source site)
The trick to putting LLM agents in high-stakes systems isn’t a smarter model — it’s containing the model to one node so the rest of the system is ordinary, testable code. Here are the structural moves, with the contracts and types to implement them. Demos love autonomous agents that loop, call tools, and “figure it out.” Production hates them. The moment an agent’s behavior depends on which path the model wandered down today, you can’t test it, can’t audit it, and can’t let it touch anything that matters. In a regulated or high-consequence system — money movement, healthcare, infrastructure —…
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;…
chDB Durable Layer for agent memory (opens on the source site)
The chDB Durable Layer keeps agent memory fast to query locally while making its analytical state recoverable across laptops, CI jobs, and short-lived sandboxes.
How AI Let a Non-Technical Delivery Lead Work in the Data Layer (opens on the source site)
As a delivery lead, data-layer troubleshooting has historically been developer work: SQL fluency, comfort operating in a production database, and the confidence to investigate without breaking anything. For an accounting-based client, when their data didn’t reconcile or make sense, that question went to a developer. AI changed that for me in one engagement this year. […] The post How AI Let a Non-Technical Delivery Lead Work in the Data Layer appeared first on Atomic Spin.
Why Deploying Physical AI at Scale Demands Safety at Every Layer (opens on the source site)
Nvidia ·
Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […]
AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack (opens on the source site)
Nvidia ·
AI security is an engineering problem. That means defined security requirements, enforceable controls, named owners and evidence that protections work. As AI becomes more capable, the industry must accelerate security engineering, broaden access to defensive tools and share what works faster. Technology Changes, Security Fundamentals Endure The internet and cloud computing changed how software operates, […]
AI SDK harness layer now supports native subscription authentication (opens on the source site)
Vercel ·
The AI SDK harness layer now supports authenticating harnesses through their native subscriptions, where the underlying harness supports them. The harness layer runs different coding agents through the same HarnessAgent interface, so you can switch agents without changing your application code. No code changes or new settings are required. The direct authentication mode uses explicit provider environment credentials when they are present, and otherwise a native subscription found on the host. The default auto mode does the same when no AI Gateway credentials are set. The ai-gateway mode never…
Choosing a low-latency infrastructure layer for conversational AI (opens on the source site)
Twilio ·
ConversationRelay delivers real-time speech recognition for call centers, with under 0.5s median latency. See how Twilio powers low-latency conversational AI.
Extend Layer 2 networks into Red Hat OpenShift Virtualization with BGP and EVPN (opens on the source site)
Red Hat ·
When you migrate to Red Hat OpenShift Virtualization, you are modernizing your infrastructure, but obviously you want to do so without breaking existing network dependencies or compromising security boundaries. Traditional architectures frequently struggle to resolve this, forcing teams to rely on complex, fragile NAT rules to maintain connectivity for imported VMs or on burdensome, manual configurations to preserve multi-tenant isolation across shared clusters. The post Extend Layer 2 networks into Red Hat OpenShift Virtualization with BGP and EVPN appeared first on Red Hat Developer.
Your trusted knowledge layer: Introducing Stack Internal's new platform experience (opens on the source site)
Introducing new Stack Internal capabilities as part of our upcoming platform experience. Our latest release turns your existing foundation of knowledge into enterprise memory that your people, teams, and AI agents can act on. Learn how we’re building the trust layer for enterprise AI.
PubNub introduces Blocks.ai: The Control Plane and Network Layer For AI Agents. (opens on the source site)
PubNub: ·
PubNub introduces Blocks.ai: The Control Plane and Network Layer For AI Agents. Connect and control agents from everywhere, across any network and device, on the Blocks Network.
Metric Semantic Layer: How Lyft Governs and Scales Key Data Definitions (opens on the source site)
Lyft ·
Written by Rohit Channe and Simran Mirchandani at Lyft.MotivationAt Lyft, data isn’t just a resource — it’s woven into everything we do. Metrics drive key forecasts, steer operational decisions, and put our boldest hypotheses to the test. But as Lyft scaled, products launched and evolved, and team members came and went, we found ourselves at risk of different teams using different definitions for a given metric. What did “Metric ABC” actually mean? The answer often depended on the context and application of the team you asked.The consequences were predictable. Without centralized version…
Encoding Your Domain Expert: The Context Layer Behind Spotify's Data Assistant (opens on the source site)
Spotify ·
At Spotify, data problems used to follow a specific pattern. You'd look for the relevant dashboard, there... The post Encoding Your Domain Expert: The Context Layer Behind Spotify's Data Assistant appeared first on Spotify Engineering.
AI as the Next Abstraction Layer: How I see engineering evolving at Thumbtack (opens on the source site)
Over the past year, the way we use AI at Thumbtack has gone through a few phases. Early on it was mostly curiosity, people experimenting with ChatGPT and Copilot on side projects, sharing tips in Slack. Then the models got noticeably better at working inside real, mature codebases (not just greenfield projects) and the conversation shifted. It stopped being about whether we should adopt AI-assisted development and became about how. Lately, it is moving towards the adoption of end to end agentic workflows for development.I’ve been thinking a lot about what this shift means, not just for our…
OpenMapTiles 3.16: Transportation Layer Improvements and Style Enhancements (opens on the source site)
MapTiler ·
Version 3.16 offers improved road connections and dark-mode maps. Thanks to all the Open-source contributors who helped update it.
The Hidden Layer of Analytics: How QA Builds Trust in Data (opens on the source site)
Every accurate metric is backed by countless validations, events checks and integrity tests in the background.IntroductionQuality Assurance in the data-driven systems extends beyond UI validation and backend verification. Such systems rely heavily on data precision and accuracy.A recent QA focused on validating a productivity analytics framework, ensuring that every event, metric and data flow accurately represented real-world user behaviour. The process was primarily manual, involving live simulations, event validation and detailed metric verification across environment which emphasised…
Crash course on the Android UI layer | Part 2 (opens on the source site)
Badoo ·
Crash Course on the Android UI Layer | Part 2State Holders and Saving StateThis blog post series aims to summarise the Android Developer guidance on the UI layer. We’ll explore all the entities involved in it, understand the role each part plays, and discuss best practices.By the end of this series, you will have a general understanding of what happens on the UI layer and how to best handle state and logic within it, the various APIs involved, and how to use them. Additionally, we’ll provide decision trees to assist you when you’re in doubt.In part 1, we covered the UI and the UI state. You…
Crash course on the Android UI layer | Part 1 (opens on the source site)
Badoo ·
Crash Course on the Android UI Layer | Part 1The UI and UI StateThis blog post series aims to summarise the Android Developer guidance on the UI layer. We’ll explore all the entities involved in it, understand the role each part plays, and discuss best practices.By the end of this series, you will have a general understanding of what happens on the UI layer and how to best handle state and logic within it, the various APIs involved, and how to use them. Additionally, we’ll provide decision trees to assist you when you’re in doubt.This is part 1, where we’re covering the UI and the UI state.…
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