GitHub Copilot vs Cursor vs Windsurf: Which AI Coding Assistant Actually Makes You Faster in 2026
Two weeks. Three tools. One Next.js codebase I actually ship to users. I’ll be upfront: I went in expecting Cursor to win.
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TypeScript 5.x in 2026: Features That Actually Matter for Production Code
Spent most of last winter doing something I should have done a year earlier: actually reading the TypeScript 5.x changelogs.
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Serverless vs Containers in 2026: Why I Stopped Treating It as a Binary Choice
About 14 months ago, my team of four migrated our entire backend — a fairly standard Node.js/Python mix serving a B2B SaaS product — fully onto AWS Lambda
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Redis vs Valkey in 2026: What the License Fork Actually Changed
When Redis Ltd announced the license change in March 2024, I was in the middle of planning a caching layer for a mid-sized SaaS product — four engineers, r
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LangChain vs LlamaIndex vs Haystack: What Two Weeks in Production Actually Taught Me
My team got handed a RAG project earlier this year — 40,000 documents, mix of PDFs and Confluence exports, users who would notice if answers were wrong.
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Docker Compose vs Kubernetes: What I Actually Learned Running Both in Production
Eighteen months ago I inherited a mess.
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Deno 2.0 in Production: Six Months of Migration From Node.js and What Actually Changed
I resisted Deno for years.
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Bun vs Node.js in Production: What Three Months of Real Traffic Taught Me
The benchmarks are real. I just didn’t expect them to matter less than everything else.
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Building RAG with pgvector: Why I Stopped Paying for Pinecone
The $340 invoice showed up on a Tuesday in late January.
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WebAssembly in 2026: Where It Actually Makes Sense to Replace JavaScript
I have been meaning to write this post for months.
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PostgreSQL Performance Tuning on a 10TB Database: What Actually Worked
Our PostgreSQL cluster crossed 10TB sometime in late 2024.
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Cloudflare Workers vs AWS Lambda at the Edge: Six Months of Production Reality
My team spent the better part of last summer arguing about which edge runtime to standardize on.
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Setting Up GitHub Actions for Python: What the Docs Don’t Tell You
Three months ago, our team ’s CI pipeline was a mess.
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Kubernetes vs Docker Swarm vs Nomad: Container Orchestration Showdown 2026
My team’s internal tooling cluster hit a wall in late January.
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Event-Driven Architecture in 2026: Why My Microservices Finally Stopped Talking Back
At 2:14am on a Tuesday, my phone buzzed. The order service was timing out. Which was timing out the inventory service.
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RAG in the Wild: What I Learned After Two Weeks of Chunking Experiments
Three months ago I shipped a RAG pipeline that I was genuinely proud of.
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GitHub Copilot Alternatives in 2026: What I Actually Use After Testing Cursor, Codeium, Tabnine, and Amazon Q
My breaking point with GitHub Copilot came on a Tuesday afternoon in January.
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I Benchmarked AI Coding Assistants Against Real Work for Three Weeks
Three months ago my team lead asked me to pick one AI coding tool for our five-person team to standardize on.
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Building Production-Ready AI Pipelines: Lessons from Running 10K+ Generations
It was a Tuesday morning when I opened our Datadog dashboard and saw 847 silent failures from the previous night’s batch job. No alerts.
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FastAPI vs Django vs Flask: What I Actually Use After Testing All Three in 2026
Three weeks ago I needed to pick a framework for a client project — a B2B analytics API with roughly 200 daily active users, a team of three backend engine
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Setting Up ArgoCD for GitOps: What Actually Works in Production
I pushed a broken Helm chart on a Friday afternoon last October. Not my finest moment.
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Edge Deployment Finally Made Sense for Our Team in 2026 — Here’s Why It Took This Long
Back in January, we had a user in Melbourne complaining about 800ms API response times.
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RAG vs Fine-Tuning: What I Actually Learned After 6 Months of Building LLM Apps
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GitHub Copilot vs Cursor vs Codeium: Which AI Coding Assistant Actually Holds Up in 2026
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RAG vs Fine-Tuning: What I Learned After Choosing Wrong Twice
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GitHub Copilot vs Cursor vs Codeium: Which AI Coding Assistant Is Actually Worth It in 2026
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Building Production-Ready AI Pipelines: Lessons from Running 10K+ Generations
{ “@context”: “https://schema.org”, “@type”: “BlogPosting”, “headline”: “Building Production -Ready Pipelines: Lessons from Running 10K+”>AI Pipelines: Les
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Advanced Prompt Engineering Techniques: What Actually Works After Two Years of Testing
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AutoGen vs LangGraph vs CrewAI: Which Agent Framework Actually Works in 2026
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Claude vs GPT-4o vs Gemini 2.0: Which AI Model to Use for Work in 2026
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