The New Stack
24 stories

The New StackGitHubRespan spent two years building on LiteLLM. One upgrade made it start over. Respan released an open-source AI gateway written in Rust on Tuesday, after spending two years building more than 100,000 lines of wrapper code around LiteLLM.

The New StackGitHub“We are not forking TypeScript”: Cloudflare spearheads Rust port written by agents, for agents Cloudflare is going all-out to ensure that AI coding agents can check their work without exhausting available computing resources, leading a new effort to bring Microsoft’s TypeScript compiler to…

The New StackGitHubAssess the entire inference stack — not just open model benchmarks Impressive benchmark results should make it easy for engineers to select the right open model for the outcome they are tasked with developing. However, that is not the case.

The New StackGitHubYour Kubernetes dashboard is green. Your users are seeing red. In cloud-native operations, few scenarios are as maddening as the “phantom slowdown.” This happens when Grafana or Kubernetes dashboards show a sea of green: pods are running, liveness and readiness…

The New StackGitHubElevenLabs wants to run your voice agent. Here’s what developers give up. ElevenLabs launched Eleven Realtime on Tuesday , introducing two managed voice-agent models, Mini and Max, that integrate speech recognition, reasoning, turn-taking, and voice generation.

The New StackGitHubScripted tests can’t keep up with AI-written code. Datadog is betting agents can. Nearly a year into the agentic coding explosion, many teams now use AI to write software as their de facto approach.

The New StackGitHubHow to review AI code without reading the code The argument over whether engineers should stop reading code is over, because we already have. Faros AI’s new report shows a 76.3% increase in pull requests merged without review since their last…

The New StackGitHubDeepSeek open-sources the inference engine behind its API. And Huawei gets equal billing with Nvidia. DeepSeek has open-sourced the inference engine it uses to serve its models in production, a step it said last year wasn’t yet practical.

The New StackGitHubBeam pulls single app windows off the Mac Mini running your agents Beam is a new Mac app that takes a window running on one Mac and puts it on another, where it behaves like a locally installed app. Why? Agents.

The New StackGitHubAI’s Midas problem: When code is free, features are worthless Every team that adopted Claude Code, Cursor, or Copilot to produce more code has the same problem: When output is free, offering volume stops being a viable strategy.

The New StackGitHubMost AI incident tools still leave a key decision to humans An AI SRE agent can help troubleshoot an incident. But can you trust it to decide on its own when something needs attention? Most teams treat agent autonomy as a yes or no question.

The New StackGitHubMiniMax just halved its token prices. Your AI agent bill may not follow. MiniMax released M3.1 Flash on Monday, saying it cuts agent costs by 70 percent. Per-token prices fell by half, which accounts for part of that claim.

The New StackGitHubResearchers removed one instruction from Claude Code. Out-of-scope actions jumped. Anthropic is reportedly developing a model that can infer what users want from incomplete instructions.

The New StackGitHubDeepSeek made its name with cheap AI models. Now it’s undercutting search API rivals, too. Not content with challenging the major frontier AI labs with lower-cost models , Chinese AI company DeepSeek is setting its sights on the search API market.

The New StackGitHubThe distroless security gap: Why bottom-up containers are the next evolution in OCI images Ever tried to shrink your container images to reduce their attack surface? If you have, you’ve likely discovered a frustrating paradox: shrinking a container often blinds your vulnerability…

The New StackGitHubGemini 4 Argon vs. Claude Opus 5.5: Half the price and about half as accurate When Google announced Gemini 4 Argon to a small group of testers on September 30, it came with a benchmark table that put Argon ahead of Claude Opus 5.5 on 14 of 18 tests.

The New StackGitHubLiquid AI caught its model cheating on coding tests — then it recognized the sandbox Liquid AI’s new reasoning model was built to solve coding problems, but during training it kept combing Git history, GitHub, PyPI, and Hugging Face for answers, and as it did so, it appeared to…

The New StackGitHubScale isn’t one number: three ways a Kubernetes control plane runs out of room Three clusters in trouble , and they look nothing alike. The first is a training fleet. It sat at a few thousand nodes for months, then a new run landed, and it’s at fifteen thousand.

The New StackGitHubAI has lowered the barrier to building. Here’s what that means for engineers. For most of software’s history, building meant writing code. Not just understanding it, but producing it.

The New StackGitHubHis scanner wouldn’t work on Linux — so he let Claude study the Windows driver Christian Schaller, a Red Hat engineering director and longtime GNOME and Fedora contributor, had a box of old family negatives to digitize and a scanner that wouldn’t talk to Linux.

The New StackGitHubAI agents vs. Kubernetes: where each belongs in the control loop Kubernetes has always relied on agents , just not the kind dominating today’s AI conversations. A controller watches the current state, compares it with a declared desired state, and takes action to…

The New StackGitHubAI agents turn one request into about 20. Kubernetes is evolving to handle it. Welcome to another edition of Road to KubeCon , where we’re tracking interesting movements in the cloud-native and Kubernetes ecosystem as we count down the days to KubeCon + CloudNativeCon NA 2026…

The New StackGitHubOnly 34% trust synthetic data’s referential integrity — and it’s holding adoption back While enterprise leaders overwhelmingly believe in the promise of synthetic data, adoption lags. As a result, synthetic data has great, untapped potential. The answer?

The New StackGitHubEmployees are vibe-coding their own apps. Cloudflare open-sources Void to give IT a handle on them Many companies are keen to let employees build their own applications using AI, even those with little or no programming experience.
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