Author: Rodrigo Gardin
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How Revolut Cut AI Coding Costs 10x With Self-Hosted Models
Revolut says it cut its AI coding bill by about 90% by moving 2,000 engineers off metered Claude and OpenAI APIs and onto open models it runs itself. That is a ten-fold drop, and it is the kind of number that makes a CFO forward an article to the CTO with no comment. Before you…
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AI Is Forcing Teams to Pay Off 40 Years of Tech Debt
This week’s most-discussed engineering story on Hacker News carried a blunt headline: AI is forcing us to pay off 40 years of technical debt. It comes from an IEEE Spectrum report by Dina Genkina, published November 2, 2026, on PHP2Shell, a pair of critical flaws in the PHP engine. The story is about security, not…
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MLflow’s Critical RCE Flaw: A Patching Playbook for ML Platform Teams
If your team runs a self-hosted MLflow tracking server, the MLflow RCE tracked as CVE-2026-116692 deserves a slot in this week’s patch window. The GitHub advisory rates it Critical, CVSS 9.8, and it affects every release from 3.12.0rc0 up to, but not including, 3.17.0. A second critical advisory landed on Oct 26 for Google’s MCP…
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When AI Safeguards Flag Routine Work: What It Costs Engineering Teams
A master’s student at MIT builds LLM agents that fly a simulated spacecraft. The model keeps deciding he must be doing something military. That is one of the stories developers shared with VentureBeat on September 30, and it captures the problem with AI safeguards that flag routine work: the filter reads keywords, not intent, and…
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Meta’s Muse Agents Go Enterprise: A Vendor Strategy Guide
On September 28, Mark Zuckerberg announced the Meta Enterprise Platform, a new unit meant to bring “our full technology stack, including the Muse agent, Meta Business Agent, Muse API, Muse Code, and more to businesses and developers,” according to Gizmodo. If you own an AI vendor shortlist, Meta’s Muse agents are now a line item…
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Human-Supervised AI Agents Are Beating Full Autonomy in 2026
Ninety-seven percent of executives deployed AI agents in the past year. Only 29% see significant ROI from generative AI, and just 23% see it from AI agents specifically. That gap — captured in an April 2026 survey of 1,200 C-suite leaders by WRITER and Workplace Intelligence — is not a model-quality problem. It is a…
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OpenAI’s ChatGPT Work Exposes the Real Bottleneck in Enterprise AI Agents
OpenAI’s ChatGPT Work launched in July 2026 with a simple pitch: give every employee, not just engineers, an always-on agent that turns an instruction into a finished spreadsheet, deck, or app. Six weeks later, the adoption numbers tell a more interesting story than the launch keynote did. Roughly 98% of OpenAI’s own staff use Codex,…
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OpenClaw 2.0’s Multiplayer Mode: What to Configure First
OpenClaw 2.0 shipped on August 31, 2026 as v2026.8.1, the project’s largest release yet: 933 contributors, 569 of them first-timers, and more than 16,000 merged pull requests, roughly half of every PR the project has ever merged, according to VentureBeat’s reporting. The headline change is “multiplayer”: shared cloud sessions that let a second engineer join…
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Nearshore 2.0: Why AI-Capable Engineering Teams Are Replacing Commodity Coding Contracts in 2026
For two decades, nearshore software outsourcing sold a simple promise: more engineering hours for less money, delivered from a time zone close enough to overlap with your workday. That model built a multibillion-dollar industry. In 2026, it is no longer enough. The question technical decision-makers are asking their nearshore partners has changed from “how many…
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Inside Pinecone Nexus: Why Structured Context Wins for AI Agents
Most AI agents don’t fail because the underlying model is weak. They fail because they spend most of their turn digging through the wrong documents. Conventional retrieval-augmented systems ask a large language model to do two jobs at once: find the relevant facts, then reason over them. According to ITBrief, agents running on that pattern…