The Terminal as an Agentic Interface

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1. 

   25 Aug 2026 · 55 min

   The Gap Between AI Spending and AI Value

   It is widely reported that a gap has emerged between enterprise spending on AI and the durable value captured from that spend. Individual employees have enthusiastically adopted coding assistants and chatbots, yet those gains do not seem to be transforming businesses at an organizational level. One of the most important questions in the tech industry today is understanding why AI is not yet delivering returns that match the investment, and what separates the small number of enterprises succeeding from the many that are not. Scale AI is known for supplying the human-labeled data behind many…

2. 

   20 Aug 2026 · 1 hr 13 min

   AI and the New Global Security Landscape

   The conversation about AI often focuses on software, automation, and the race between attackers and defenders in code. However, some of the most consequential risks lie further afield, in domains where a mistake is measured in human lives. Advanced models can now offer step-by-step guidance toward chemical and biological weapons, and militaries are already folding AI into targeting and battlefield assessments. These are no longer speculative fears confined to the AI doomer crowd. They are documented in red team disclosures, government legislation, and events unfolding on real battlefields.…

3. 

   18 Aug 2026 · 48 min

   How LLMs Are Reshaping Recommendation Systems

   News feeds and recommendation systems have long relied on deep learning architectures that score each candidate item independently. As LLMs have matured, they have opened up a fundamentally different approach, where a system can reason about content the way it reasons about language. However, that power comes with a fresh set of engineering challenges around cost, scale, and evaluation. LinkedIn recently rebuilt its news feed to treat content recommendation as a sequence modeling problem. The general approach is to predict what a user will want next, much like an LLM predicts the next token…

4. 

   13 Aug 2026 · 50 min

   Rebuilding the Cloud for AI Agent Code

   For two decades, the cloud has been shaped by human developers writing code and managing its deployment. Now a growing share of production code is generated by LLMs with little human review. Because that code is not fully trusted, it increasingly runs in isolated, sandboxed environments. Meanwhile, AI agents are starting to operate infrastructure directly, by spinning services up and tearing them down on their own. Together these shifts raise the question of whether the cloud needs to be rebuilt for machine operators rather than humans. Render is a cloud platform designed for application…

5. 

   11 Aug 2026 · 48 min

   SED News: The Kimi Moment, Runaway AI, and Tokenmaxxing

   SED News is a monthly podcast from Software Engineering Daily where hosts Gregor Vand and Sean Falconer break down the biggest stories shaping software engineering, Silicon Valley, and the broader tech industry. In this episode, Gregor and Sean dig into a wave of “runaway AI” stories, including Anthropic and OpenAI disclosing that their models accessed outside organizations during cyber evaluations, and Amazon reporting a staggering budget overrun blamed on bad agent loops. They explore why most of these incidents trace back to human decisions rather than models breaking free, and the…

6. 

   4 Aug 2026 · 57 min

   AI-Powered Threats to the Software Supply Chain

   Open source software underpins virtually every modern application. That ubiquity is a superpower for developers, but it is also an expanding attack surface. Software supply chain attacks were once rare but are now happening daily, with malicious actors exploiting the trust developers place in public registries, package managers, and CI/CD pipelines. Chainguard is a secure software supply chain platform. The company started with hardened container images and has expanded to cover domains including VMs, language libraries, GitHub Actions, and agent skills. Matt Moore is a co-founder and CTO of…

7. 

   30 Jul 2026 · 51 min

   Docker and Sandboxing AI Agents

   The most useful coding agents can mutate their environments by downloading packages, writing files, and connecting to services across the network. However, that freedom also presents dangers, and promises to usher in a new wave of security threats. Docker recently announced Docker Sandboxes, which give each agent its own isolated micro VM while preserving the familiar ergonomics of a container. A standard container shares the host’s kernel, but a micro VM emulates hardware and runs its own kernel, giving a stronger security boundary around code that cannot be trusted. Mark Cavage is the…

8. 

   28 Jul 2026 · 44 min

   The Startup Scene in Southeast Asia

   Golden Gate Ventures is one of Southeast Asia’s most established early-stage venture firms, having backed companies across the region since 2011. They have invested in companies that are now household names in the region. Examples include Gojek, which started as a motorcycle taxi service in Indonesia and grew into a super app spanning payments, food delivery, and logistics, and Grab, which began as a ride-hailing service in Singapore and similarly expanded across Southeast Asia into food delivery and financial services. Jeffrey Paine is a co-founder and partner at Golden Gate Ventures. In…

9. 

   21 Jul 2026 · 1 hr 4 min

   NanoClaw and the Rise of Personal AI Agents

   AI agents have shown remarkable potential to function as persistent digital assistants that are capable of monitoring data, managing communications, and taking action autonomously over long periods. OpenClaw was one of the first serious attempts to fulfill that vision, connecting frontier coding agents to messaging platforms like Slack and WhatsApp and letting them run continuously in the background. However, OpenClaw largely set aside questions of security to pursue that vision, leaving credentials exposed in the agent’s environment and giving agents broad access to data and services far…

10. 

    16 Jul 2026 · 52 min

    Agentic DevOps at AWS

    AI agents have become capable of reasoning across large amounts of data, calling tools, and taking sequences of actions autonomously. These qualities make them well suited to some of the most persistent pain points in DevOps, including the on-call engineer woken at 3 AM to diagnose an incident, the build failure that takes hours to trace back to a root cause, and the operational toil of modern software delivery. Agentic DevOps is the emerging paradigm that applies these capabilities to the full software lifecycle, with the goal of matching the velocity of modern software delivery with an…