Presentations tagged AI Native Dev
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The return of tech specs – Frontend Masters Blog
I’m confident that going forward, software engineers will need to relearn how to create detailed tech specs for complex changes.…
Read Moreanti-patterns and patterns for achieving secure generation of code via AI
I just finished up a phone call with a “stealth startup” that was pitching an idea that agents could generate…
Read Morewhat is the point of libraries now that you can just generate them?
Instead of relying on a third-party library maintained by a developer in Nebraska, we code-generate the libraries/dependencies ourselves unless the…
Read MoreA Gentle Introduction to Context Engineering in LLMs – KDnuggets
If I received a request that said, ‘Hey Kanwal, can you write an article about how LLMs work?’, that’s an…
Read MoreAGENT.md: Why your README matters more than AI configuration files
The AGENT.md specification emerged in July 2025 as an attempt to solve a real problem: developers maintaining separate configuration files…
Read MoreIs AI about to expose just how mediocre most developers are?
Most code is crap, most developers are mediocre. In the age of AI-assisted coding, that’s a problem for them and…
Read MoreClaude Code: A Highly Agentic Coding Assistant
Use Claude code to explore, develop, test, refactor, and debug codebases.Extend the capabilities of Claude Code with MCP servers such…
Read MoreTalking Postgres with Claire Giordano | AI for data engineers with Simon Willison
It’s always a good day if you see a pelican. In Episode 30 of Talking Postgres with Claire Giordano, open…
Read MoreAI Development Patterns: What Actually Works
After building 30+ repositories with AI coding tools, I’ve learned one thing: raw AI power without structure creates spectacular messes.…
Read MoreContext engineering for AI dev success
Many software development teams are benchmarking AI tools and deciding not to adopt them. They expect AI to work like…
Read MoreTeaching MCP Servers New Tricks: Challenges in Tool Discovery – AI Native Dev
You’ve probably noticed a pattern when you try new LLM-backed or adjacent tools, especially in the developer space. Once you…
Read MoreRunno – MCP Servers are surprisingly easy. I made one that runs code in a sandbox.
Source: Runno – MCP Servers are surprisingly easy. I made one that runs code in a sandbox.
Read MoreCoding with LLMs in the summer of 2025 (an update) –
Frontier LLMs such as Gemini 2.5 PRO, with their vast understanding of many topics and their ability to grasp thousands…
Read MoreNobody Knows How To Build With AI Yet
The Great Experiment Nobody’s Running the Same Way There’s this moment in every new technology where everyone pretends they know…
Read MoreThe Great Flood of Adequate Software – by Scott Werner
Here’s what I think is about to happen: every task that used to require a team will become a Thursday…
Read MoreWhy I’m Betting Against AI Agents in 2025 (Despite Building Them)
I’ve built 12+ production AI agent systems across development, DevOps, and data operations. Here’s why the current hype around autonomous…
Read MoreThe lethal trifecta for AI agents: private data, untrusted content, and external communication
Source: The lethal trifecta for AI agents: private data, untrusted content, and external communication
Read MoreIdentify, solve, verify
The more time I spend using LLMs for code, the less I worry for my career – even as their…
Read MoreSpending Too Much Money on a Coding Agent
How to get $1000/mo of value from coding agents Obviously, simply spending $1000 does not guarantee you a positive return!…
Read MoreContext engineering
Source: Context engineering
Read MoreThe End of Code as We Know It (The Third Wave is Here) – YouTube
The “Third Wave” of Software: Moving from classical source code to natural language instructions.English as Code: How LLMs are turning…
Read MoreGive your coding agent browser superpowers with DevTools access via MCP
When working with coding agents it’s essential to provide them with the signals they need to determine whether they’ve done…
Read MoreAndrej Karpathy: Software Is Changing (Again)
0:49 – Imo fair to say that software is changing quite fundamentally again. LLMs are a new kind of computer,…
Read MoreParallelizing AI Coding Agents – AI Native Dev
AI coding environments have evolved rapidly, from simple chat-based prompting, to retrieval-augmented generation (RAG), and more recently to autonomous agents.…
Read MoreNavigating AI Native Development with Simon Maple – YouTube
AI is reshaping the way we build software, shifting from code-centric to spec-centric development, where developers define what they want,…
Read Morethe six-month recap: closing talk on AI at Web Directions, Melbourne, June 2025
Welcome back to our final session at WebDirections. We’re definitely on the glide path—though I’m not sure if we’re smoothly…
Read MoreAI-assisted coding for teams that can’t get away with vibes
AI should be adopted by serious engineering teams that want to build thoughtful, well-crafted products. This requires skillful usage of…
Read MoreA new breed of GenAI Application Engineers
There’s a new breed of GenAI Application Engineers who can build more-powerful applications faster than was possible before, thanks to…
Read MoreMy AI Skeptic Friends Are All Nuts · The Fly Blog
Some of the smartest people I know share a bone-deep belief that AI is a fad — the next iteration…
Read MoreAI-assisted development needs automated tests
I wonder if one of the reasons I’m finding LLMs so much more useful for coding than a lot of…
Read MoreThe Recurring Cycle of ‘Developer Replacement’ Hype
From NoCode to AI-AssistedEvery few years, a shiny new technology emerges that promises to make software developers obsolete. The headlines…
Read MoreAfter months of coding with LLMs, I’m going back to using my brain
Source: After months of coding with LLMs, I’m going back to using my brain • albertofortin.com
Read MoreBuilding software on top of Large Language Models
I presented a three hour workshop at PyCon US yesterday titled Building software on top of Large Language Models. The goal…
Read MoreGenAI coding: most teams aren’t ready
Source: GenAI coding: most teams aren’t ready | Rob Bowley
Read MoreThe Next Evolutionary Step – Annie Vella
The recent releases of Claude Code and OpenAI Codex caught my attention, but not for the reasons you might expect.…
Read MoreWhy developers and their bosses disagree over generative AI
There’s a stubborn disconnect between what engineering leadership thinks will make developers productive and what they actually want. In a survey…
Read MoreTwo publishers and three authors fail to understand what “vibe coding” means
Vibe coding does not mean “using AI tools to help write code”. It means “generating code with AI without caring…
Read MoreThe Hidden Cost of AI Coding
Instead of that deep immersion where I’d craft each function, I’m now more like a curator? I describe what I…
Read MoreAI Agents, meet Test Driven Development
Historically with Test Driven Development (TDD), the thing that you’re testing is predictable. You expect the same outputs given a…
Read MoreThe Post-Developer Era • Josh W. Comeau
Two years ago, in March 2023, I published a blog post called “The End of Front-End Development”. This was right…
Read MoreLLMs can’t stop making up software dependencies and sabotaging everything • The Register
Exploiting hallucinated package names represents a form of typosquatting, where variations or misspellings of common terms are used to dupe…
Read MorePattern #1: From Producer to Manager – AI Native Dev
AI produces the code, you review it It all started with simple code autocompletion in our IDEs. But the real…
Read MoreModel Context Protocol has prompt injection security problems
As more people start hacking around with implementations of MCP (the Model Context Protocol, a new standard for making tools…
Read MoreAI Native development principles and practices | Patrick Debois
Read Moreif you aren’t redlining the LLM, you aren’t headlining
There’s something cooked about Windsurf/Cursors’ go-to-market pricing – there’s no way they are turning a profit at $50/month. $50/month gets…
Read MoreThe “S” in MCP Stands for Security
Source: The “S” in MCP Stands for Security | by Elena Cross
Read MoreVibe Coding: Democratizing Software, One Snapshot at a Time – AI Native Dev
Is vibe coding going to create a sea of crappy software? Are software engineers doomed?Let’s look at the evolution of…
Read MoreI don’t know what MCP is and at this point I’m too afraid to ask
It feels like everyone’s talking about MCP (Model Context Protocol) these days when it comes to Large Language Models (LLMs),…
Read MoreRevenge of the junior developer
If you still think of AI-based code-autocompletion suggestions as the primary way programmers use AI, and/or you are still measuring…
Read MoreWhy Generalists Own the Future
Source: Why Generalists Own the Future
Read MoreShift Left on Security: Empower Full-Stack Devs to Build Safer Code | Patreon
For most developers, we see securing secret keys and requiring authentication for API endpoints as basic coding, but AI won’t.…
Read MoreTest Driven Vibes — Royal Icing
Source: Test Driven Vibes — Royal Icing
Read MoreHow Software Engineers Actually Use AI
We surveyed 730 coders and developers about how (and how often) they use AI chatbots on the job. The results…
Read MoreThe Software Engineering Identity Crisis
To understand this identity crisis, we need to look at how deeply the craft of coding has shaped who we…
Read MoreAI Native Developer Tools Landscape
Your Guide to the AI Development Ecosystem Source: AI Native Developer Tools Landscape
Read MoreLeading Effective Engineering Teams in the Age of GenAI
Using AI in software development is not about writing more code faster; it’s about building better software. It’s up to…
Read MoreThe 4 patterns of AI Native Dev
AI is fundamentally reshaping software development roles and activities. While the change is obvious, understanding the actual shifts taking place…
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