Category: Software Development
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Docusign’s AI Coding Adoption Went From 49% to 93%: Here’s How
Buying AI coding licenses is the easy part. Getting a thousand engineers to use them well is where most rollouts stall. Docusign’s engineering team has been unusually open about this, and in its own account of the rollout the company says 100% of its 1,000+ engineers now use AI coding tools, with a human reviewing…
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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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Copilot Model Retirements: A Governance Checklist for Vendor Teams
Three Copilot model retirement dates in about six weeks is enough to call it a pattern. GitHub retired four models on October 2, six more on October 19, and has three scheduled for November 16. If your engineering is done by a vendor or a nearshore team, someone has to own the Copilot model governance…
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Magalu Cloud’s MGC AI Hub: What It Means for Nearshore Teams
On September 9, Magalu Cloud used its Cloud Futures 2026 event in São Paulo to announce the MGC AI Hub, an API marketplace for large language models running on infrastructure in Brazil. For nearshore engineering teams building AI products for US and European clients, a Brazilian LLM host is worth a look. It is also…
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HackerRank’s AI Interviewer and the Future of Technical Screening
HackerRank has put an AI interviewer into the first round of technical hiring. Chakra, as the company calls it, runs the screening conversation on your behalf, and that changes who your first contact with a candidate is. For engineering leaders, the interesting question is not whether the tool works. It is what you hand over…
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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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Legacy Modernization Becomes a 2026 Triage Moment: Why AI Refactoring Tools Can’t Fix the Senior Engineer Shortage
Enterprise IT teams adopted AI coding tools faster than almost any technology in recent memory. 84% of developers now use or plan to use them, and 51% run them daily, according to the Stack Overflow 2025 Developer Survey. Yet legacy modernization backlogs have not shrunk to match. In 2026, the bottleneck isn’t tooling. It’s the…