Are You a Luddite?
Are we focusing on the wrong questions about AI? This blog challenges anti-AI sentiment, comparing content saturation to London's horse manure problem and arguing for quality and engagement as the true metrics.
Deep dives into AI engineering, LLMs, agentic systems, and building production AI applications
Are we focusing on the wrong questions about AI? This blog challenges anti-AI sentiment, comparing content saturation to London's horse manure problem and arguing for quality and engagement as the true metrics.
Challenge the naive claims of AI-driven job obsolescence. This satirical blog post argues AI elevates standards, making genuine expertise in design, product, and engineering more valuable than ever, exposing ego-centric views on "obsolete" professions.
Explore the evolving UX from User+Machine to pure Machine, the discomfort for enterprises, and the imperative for users to take ownership of powerful AI tools, using real-world examples.
Why teaching LLMs to use human-centric browsers is a flawed abstraction, akin to horses driving tractors. Explore business logic barriers and advocate for API-driven precision.
Explore the profound idea that LLMs harbor an inherent 'magic' and 'metaphysical boundaries' beyond basic algorithms. This post delves into how advanced pattern-matching enables strategic behaviors, drawing parallels to the human soul and the need for behavioral guidance to unlock their true potential, referencing cutting-edge research.
Why 'vibe coding' platforms are fundamentally flawed. Discover why a lack of crucial detail, not abstract vision, leads to slop, tech debt, and platform failure in the age of GenAI. We explore examples like Lovable and the rising demand for detailed programming skills.
The AI era redefines programming language value. Discover why Python is for experimentation and Rust dominates runtime, as AI's efficiency metrics challenge traditional frameworks like React.
The donation of MCP and other projects to the Open Source Agentic Foundation signals an end to protocol fragmentation, ushering in an era of alignment and unified building for the agentic stack. Discover the impact of this move.
Explore why aggressive context curation and agentic mesh architectures are essential for senior AI developers. Debunk 'God agents' and understand how Google's ADK and A2A frameworks enable true agentic flows.
An analysis of how AI induces cognitive offloading in education, conflating 'doing' with 'understanding', and creating a new class divide between those who wield AI and those replaced by it.
Explore why the AI industry's pivot to 'fundamental research' is a strategic retreat from the hard realities of productization. This post argues that the future of AI depends on disciplined engineering, not just theoretical breakthroughs.
Current AI is a sophisticated parrot, not a true learner. Discover why neuro-symbiotic frameworks and growth loops are the real path to adaptive cognition, moving beyond the illusion of deep learning.
A deep-dive into why the AI industry is shifting from a focus on scaling foundational models to building value at the application layer, driven by the new realities of cost, speed, and model commoditization.
Anthropic's code execution with MCP isn't innovation. It's an admission the original paradigm was broken. Here's what comes next.
Most MCP servers are prototypes. Here's the engineering checklist for building production-grade infrastructure.
We now have a cheap, fast and highly capable alternative from Google to build agentic flows.
A critical analysis of Agentic AI frameworks.
Discover Chrome's Built-in AI. This deep dive explores speed, cost, and usability advantages, testing the limits of embedded AI in browsers. Leverage in-browser LLMs for interesting AI solutions.
Claude 3.5 Sonnet artifacts are to structured output such as code generation, what vector retrieval is to rag. It is the search and retrieval system for structured output.
Discover the journey of building a cutting-edge AI data privacy tool with five integrated AI APIs. Explore the challenges, costs, and lessons learned in using AI for advancing data privacy.
Generative AI is misunderstood as a sentient tool that is capable of expert, highly qualified output. The truth is, Generative AI is capable of performing enormous amounts of work, to an intermediate (at best) level.
I built a simple version of OpenAIs voice functionality, using Groq, Llama3, NextJS, DeepGram, SpeechRecognitionAPI. Talk, listen and converse with LLMs.
Chapter one. How did we get here. The beginning of a journey through tech.
Human nature, large corporations, politics all mixed into a juicy cocktail about the dynamics of power in big tech. With swords.
Edward is a full-stack developer and technology leader with 15+ years of experience