Plus: AWS says its new AI agent beats Claude Code at 45% less cost. ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­    ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­  
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The New Stack
Weekly Update  |  Issue 539
Together with
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TNS essential reads

Jensen Huang says the junior developer problem ends in two years. Here’s his math.

Nvidia CEO Jensen Huang tells Ezra Klein AI agents are a new abstraction layer for developers, but the junior engineer pipeline may break before 2028.

AWS open-sources an AI agent it says is 45% cheaper than Claude Code and Codex

Strands Harness bundles the tools, context and memory developers otherwise build. AWS says smarter context helped token efficiency — but one rival still beat it.

One engineer shipped 2,000 PRs a month to production. Verification is the key.
Learn how agentic verification helps AI agents ship thousands of PRs monthly using isolated, virtualized testing environments.

Intel squeezed a 1.58-bit LLM down to 1.485 bits without changing a single weight
Intel's BITCOS format compresses ternary model weights below 1.58 bits by exploiting zero-heavy distributions, boosting decoding speed up to 27% on GPUs.

“One of the most significant steps in our 26-year history”: JetBrains goes big on agentic development — and bets the IDE still matters
JetBrains Air is the culmination of several AI-focused launches this year. The editor will still have a big role to play.

The critical vulnerability was a test database. That’s the whole triage problem.

A critical-severity finding on a disposable test system exposes what CVSS can't tell you: which flaws actually cost money.

Agents operate, humans govern: Scale your operations and reduce toil with Azure SRE Agent
Azure SRE Agent can investigate incidents and prepare fixes before engineers step in. Getting there takes context, clear permissions, and reliable triggers.


Together with Origin

The analyst report that put AI agents on the endpoint map

Every generation of endpoint security chased a new threat. The newest arrives invited, holding real credentials. SACR mapped the layer. On October 1, join a live session about agent runtime observability with the analyst who wrote the report and Origin's founder.

  • Five zones, from the analyst who drew them

  • Origin's zone and the trace, in depth

  • Recording sent to every registrant
Save your spot
TNS Episode - Sep 25 2026

A third option is emerging in the fight over AI and your data

Enterprises won't risk their data, and AI labs won't hand over their model weights — so most companies have been stuck choosing between the frontier and control. In this episode of The New Stack podcast, Vast Data co-founder Jeff Denworth talks about DataEnclave, a new approach that uses Nvidia's Confidential Computing to let proprietary models and proprietary data meet on trusted infrastructure, without either side's IP ever leaving the building.

Catch the episode

Featured webinars

Sep 29
Virtual
AI writes the code faster than anyone can review it
Pull request volume is up nearly 2x since AI started writing code. Bugs are up 54%. Incidents per pull request have nearly tripled. The instinct has been to add more review, or have AI review AI's own work, but neither fixes it. Explore where human review still earns its keep, and what a pipeline that verifies every deployment actually looks like in practice.
Register now →
Oct 7
Virtual
How WHOOP turned days of vulnerability triage into minutes
For WHOOP's security team, a critical vulnerability used to mean an entire team of engineers and days of manual, all-hands triage. Join us live as we walk through the workflow that changed that, built with Datadog Bits AI and Workflow Automation.
Sign up today →
Oct 8
Virtual
Your SOC just got outpaced by AI. Now what?
AI is changing the speed of attacks, and SOC teams are stuck asking how to keep up without losing oversight. Join us for a candid take on where AI autonomy actually belongs in the SOC, followed by a live demo of AI agents handling a real alert investigation from triage to resolution. You'll walk away with a practical framework for how much control to hand off, and when.
Register to join →
Oct 13
Virtual
Why the best reranker can't fix bad retrieval
No reranker, however capable, can recover a relevant result that retrieval never surfaced in the first place. Explore how to design retrieval as a multi-stage funnel instead of one expensive rerank pass, and how that changes when an agent, not a person, is doing the searching.
Save your spot →
Oct 14
Virtual
Six data requirements to get your AI agents from demo to production
Most enterprise AI pilots work perfectly. Most production deployments don’t. Join us on October 14 for the six architectural requirements that separate agents stuck in pilot from those running reliably at scale.
Register today →

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