Software Engineering Daily

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.

Gordon M. Goldstein is an adjunct senior fellow at the Council on Foreign Relations, where he focuses on the convergence of technology and US foreign policy. He previously spent nearly a decade as a managing director at Silver Lake, and he is the author of Lessons In Disaster: McGeorge Bundy and the Path to War in Vietnam, which is a study of national security strategy and White House decision-making. In this episode, Gordon joins Kevin Ball to discuss the credibility of AI-enabled chemical and biological weapon threats, the ad hoc safeguards meant to contain them, and the rise of autonomous warfare and its implications for human control and nuclear deterrence. Gordon speaks on his own behalf, not on behalf of the Council on Foreign Relations.

Sponsorship inquiries:
sponsor@softwareengineeringdaily.com

The post AI and the New Global Security Landscape appeared first on Software Engineering Daily.

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 in a sentence.

Tim Jurka has worked at LinkedIn for 13 years and is currently a VP of Engineering. In this episode, Tim joins Matt Merrill to discuss how LinkedIn re-engineered its feed, how the team combines LLMs with traditional signals, managing inference costs at massive scale, steering content quality using natural language policies, and more.

Sponsorship inquiries:
sponsor@softwareengineeringdaily.com

The post How LLMs Are Reshaping Recommendation Systems appeared first on Software Engineering Daily.

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 deployment, by handling scaling, self-healing, and security to reduce operations work. Render has been adapting to the AI era by building tools that let agents deploy and debug applications directly, with added guardrails and security.

Anurag Goel is the founder and CEO of Render. In this episode, Anurag joins Sean Falconer to discuss why so many teams end up rebuilding the same infrastructure on top of Kubernetes, what changes when AI agents become first-class users of infrastructure and the guardrails that shift demands, and why the economics of AI are pushing developers toward higher-level platforms that trade fine-grained control for speed and safety.

Sponsorship inquiries:
sponsor@softwareengineeringdaily.com

The post Rebuilding the Cloud for AI Agent Code appeared first on Software Engineering Daily.

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 awkward reality that today’s systems can bill you for tokens without reliably counting them.

They also talk about the “Kimi moment.” Moonshot AI‘s open weight model has closed the gap with frontier models like ChatGPT and Claude at a remarkable pace, and the hosts unpack what it means for open weight strategies and how chip scarcity is pushing Chinese labs to innovate.

As always, the episode wraps up with a few standout Hacker News threads, including a JetBrains test of a “caveman speak” skill that promised big token savings, how refactoring can cut input token costs, the release of CodePen 2.0, and a build of Doom that renders through SQL queries.

Sponsorship inquiries:
sponsor@softwareengineeringdaily.com

The post SED News: The Kimi Moment, Runaway AI, and Tokenmaxxing appeared first on Software Engineering Daily.

The terminal has been a constant in software development for decades. It has remained largely unchanged while everything around it transformed. However, as AI agents have become central to the developer workflow, the terminal is emerging as a natural home for agentic development, and a new category of tooling is forming around it.

Warp is a popular Rust-based terminal and agentic development environment. The company recently open-sourced its codebase and launched Oz, its cloud agent infrastructure product aimed at helping enterprises automate software development at scale.

Zach Lloyd is the co-founder and CEO of Warp, and a former principal engineer at Google where he led engineering on the Google Docs suite. In this episode, Zach joins Gregor Vand to discuss how Warp has evolved over the years, why the terminal is better suited than the IDE for agentic development, how Oz approaches the governance and auditability challenges enterprises face with AI agents, and more.

Sponsorship inquiries:
sponsor@softwareengineeringdaily.com

The post The Terminal as an Agentic Interface appeared first on Software Engineering Daily.