Not every AI task needs text. Sometimes it just needs a decision. Our latest article compares Jev, OpenAI’s Decisions API, and Laya on speed, cost, accuracy, and control. A high confidence score isn’t a guarantee. Test before automating. scalablepath.com/ai/jev-revi…

73% of developers using AI tools use them daily, but 48% trust outputs only when they're easy to verify. AI adoption isn't enough. Clear requirements, testing, and code review matter. stackoverflow.blog/2026/10/0…

We’re hiring a Part-Time AI-First Security Engineer (AWS CDK) for a NY-based fintech startup. Focus on AWS security, infrastructure reviews, and AI-generated code. Remote, long-term opportunity. LATAM/Canada preferred. Apply: scalablepath.com/view-positi…

Software developer postings are up nearly 15%, but junior roles lag. If AI reduces entry-level opportunities, how will tomorrow’s senior engineers gain the experience and judgment they need? cnbc.com/2026/10/11/ai-softw…

Not every AI headline helps you make better engineering decisions. Our newsletter brings you practical articles, curated reads, and conversations from Commit & Push, twice a month. Subscribe: scalablepath.com/newsletter

MCP is moving beyond dev tools and into the home. Google Home is adding MCP support, letting AI agents use connected devices to troubleshoot issues and automate tasks. The big question: what should an agent be allowed to see and control? theverge.com/tech/996310/goo…

Most AI models explain things to people. TypeSafe AI’s Jev is built to make decisions for software, returning structured answers with probabilities. The Doom demo is fun, but support routing and automated workflows may be more useful. theregister.com/ai-and-ml/20…

AI infrastructure isn’t just about faster GPUs. Memory is a bottleneck too. Kepler Computing is betting on 3D stacking and new materials to move data more efficiently. Another sign that the AI boom is pushing innovation deeper into the computing stack. wired.com/story/a-new-dollar…

Lower-cost developers and better AI tools can reduce engineering costs. But who’s making sure the project runs efficiently? Clear requirements, early reviews, prioritization, and unblocking matter just as much. That’s the technical leadership gap: scalablepath.com/hiring/tech…

AI can generate code faster than humans can review it. GitHub suggests breaking huge AI-generated PRs into smaller, logical pieces that are easier to understand and validate. As coding gets faster, review becomes the bottleneck. github.blog/engineering/turn…

I liked Simon Eskildsen’s idea of “napkin math”: before accepting that a system is slow or expensive, estimate what should theoretically be possible. If reality is far off, there’s probably something worth investigating. Worth a read/watch: newsletter.pragmaticengineer…

Developers: be careful running code from coding challenges. Hackers have posed as recruiters and sent legitimate-looking assessments containing malware. Inspect the code and dependencies first, and use an isolated environment for anything unfamiliar. thehackernews.com/2026/09/ir…

AI makes coding faster, but engineering isn’t easier. The value is shifting to judgment: what to build, how to define it, and whether AI output is actually right. Read more: scalablepath.com/ai/how-to-s… #SoftwareEngineering #AI #EngineeringLeadership

AI is helping teams produce more code, but QA needs to keep pace. I like ITPro’s manufacturing analogy: as production gets automated, quality control should too. Humans can focus on security, governance, and quality. More from Scalable Path next week: itpro.com/software/software-…

AI is reshaping software hiring. As implementation becomes more automated, the best engineers will stand out through judgment, communication, tradeoffs, and their ability to review AI-generated work. Great read from Business Insider: businessinsider.com/great-co… #AI #Hiring

New Commit & Push: Ep. 12 with Justin Gelinas of TAHO Labs. AI’s infrastructure bottleneck may be underused hardware, not just too few chips. We discuss compute efficiency, power limits, and AI growth: youtube.com/watch?v=oGSlI969…

One of Scalable Path’s most popular June articles explores why faster AI coding still needs clearer specs. Learn how Spec-Driven Development improves planning, testing, and maintenance: scalablepath.com/ai/spec-dri…

We’re hiring a Growth Hacker with landing page, email marketing, CRO, and AI experience. Open to LATAM, Canada, and the US. Apply: scalablepath.com/view-positi…

AI agents are changing more than how engineers write code. As agents handle more execution, engineers become advisers and orchestrators. The real shift is operational: clearer goals, guardrails, reviews, and failure management. ciodive.com/news/ai-agents-e…

AI coding assistants are shifting engineering from writing code to supervising it. This study found developers spending less time creating and more time directing, evaluating, and correcting AI output. Worth reading: arxiv.org/abs/2605.23135