👁 jack herrington useeffectevent
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Dec. 17: React2Shell exploit: What happened and lessons learned – 5 ways to debug, test, and ship safely – Shruti Kapoor, frontend educator, author, and Ex-PayPal/Slack engineer, breaks down the React2Shell exploit and discusses security lessons learned for dev teams. |
👁 Fixing AI Generated Code
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Dec. 10: Fixing AI-generated code: 5 ways to debug, test, and ship safely – Andrew Evans, principal engineer and tech lead at CarMax, walks through some common issues that arise with AI-generated code – and then provides a set of patterns he uses with his team to fix them. |
👁 quote card aurora scharff react async
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Dec. 3: The next era of React has arrived: Here’s what you need to know – Aurora Scharff, a senior dev consultant and React certification lead, discusses how the “Async React” era signals a fundamental shift in how development teams build software. |
👁 spalato pragmatic ai featured image
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Nov. 26: You don’t need AI for everything: A reality check for developers – Alexandra Spalato, full-stack dev and fractional AI officer, asks whether the smartest move isn’t to use AI, but to know when not to. |
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Nov. 19: React 19.2: The async shift is finally here – Jack Herrington, a principal software engineer and YouTuber, breaks down how new primitives turn async logic from a necessary evil into a first-class architectural feature. |
👁 use effect mistakes shruti kapoor
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Nov. 12: 15 common useEffect mistakes to avoid in your React apps – Shruti Kapoor, frontend educator, author, and Ex-PayPal/Slack engineer, analyzed several open-source React apps to identify the 15 most common useEffect mistakes – and fixes for each. |
👁 lewis cianci quote developer elitism
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Nov. 5: It’s time to break the cycle of developer elitism – Lewis Cianci, a senior developer with two decades of experience, discusses how developer elitism breaks down communication, damages culture, and forces younger devs to over-rely on AI. |
👁 the future of ai agents might be SLMs
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Oct. 29: Small language models: Why the future of AI agents might be tiny – Rosario De Chiara, a computer science Ph.D and innovation manager, discusses why small language models (SLMs) may outperform giants in specific real-world AI systems. |
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Oct. 22: Where AI-assisted coding accelerates development — and where it doesn’t – John Reilly, software engineer at Investec and a contributor to ts-loader and DefinitelyTyped, discusses the nuances of how software development has been changed by the innovations of AI: both positively and negatively. |
👁 jemima abu accessible ai
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Oct. 15: AI has an accessibility problem: What devs can do about it – Jemima Abu, senior product engineer at CAIS, examines areas where AI falls short on accessibility and how we can best harness AI for an optimized workflow — while still building products that everyone can use. |
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Oct. 8: An engineer’s guide to scalable data enrichment – Alexandra Spalato, full-stack dev and fractional AI officer, shows how to transform one-off enrichment scripts into a scalable, fault-tolerant internal service. Using n8n NocoDB, Spalato walks through building a fully automated pipeline that verifies company domains, discovers decision-maker contacts, and feeds clean data directly into go-to-market tools. |
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Oct. 1: A spec-first workflow for building with agentic AI – What’s the best way to provide context for AI agents? The answer: establishing a “spec-first” workflow, according to Andrew Evans, Principal Engineer & Tech Lead at CarMax. Evans walks through a method for building a spec-first workflow using Claude Code. |
👁 david turnbull claude code hacks
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Sep. 24: 6 easy ways to level up Claude Code – The future of AI-assisted development isn’t just about the model you use. It’s about how you shape it to fit your team. David Turnbull, Staff Content Design Engineer at Lingo.dev, shares six tips that help you move beyond simply entering prompts into a text box. |
👁 alexandra spalato ai hallucination quote
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Sep. 17: How to stop your AI agents from hallucinating – How do you trust AI when you can’t reliably predict its output? Alexandra Spalato, full-stack developer and fractional AI officer, is using n8n to help devs move from “I think my AI works” to “I have measured its accuracy at 98% under these conditions.” |
👁 shruti kapoor the modern ai stack
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Sep. 10: What you actually need to build and ship AI-powered apps in 2025 – Shruti Kapoor writes about the four layers that underly every production-grade AI system: compute & foundational models, data & retrieval, deployment & orchestration, and observability & optimization. |
👁 Don’t Let AI Erase The Next Generation Of Dev Leaders
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Sep. 3: A dark age is coming for dev leadership if we automate away the ladder – Software engineer and YouTuber Jack Herrington warns that automating the very tasks that once taught devs how to think critically and debug in the wild could leave us without anyone to step into senior roles. |
