TEDWARD.NET · A WEEKLY DEV BLOG BY TED WARD

Dispatches from the sharp end of AI & software.

A POST EVERY FRIDAY SINCE JUN 2025WEEK 67 — NO MISSESNEXT DROP · OCT 9
REACT ✦TYPESCRIPT ✦AWS ✦MACHINE LEARNING ✦LLM ORCHESTRATION ✦NEXT.JS ✦PYTHON ✦SERVERLESS ✦RAG PIPELINES ✦WEBASSEMBLY ✦POSTGRESQL ✦DOCKER ✦REACT ✦TYPESCRIPT ✦AWS ✦MACHINE LEARNING ✦LLM ORCHESTRATION ✦NEXT.JS ✦PYTHON ✦SERVERLESS ✦RAG PIPELINES ✦WEBASSEMBLY ✦POSTGRESQL ✦DOCKER ✦REACT ✦TYPESCRIPT ✦AWS ✦MACHINE LEARNING ✦LLM ORCHESTRATION ✦NEXT.JS ✦PYTHON ✦SERVERLESS ✦RAG PIPELINES ✦WEBASSEMBLY ✦POSTGRESQL ✦DOCKER ✦

SHOWING 7 / 69 DISPATCHES — TOPIC: ALL

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LATEST2 OCT 2026

The LLM Plateau: When the Model Stops Being the Moat

As the brute-force scaling of LLMs encounters economic realities, the primary AI moat is shifting from raw model intelligence to context and coordination layers. Discover why context is the new source code and how to build decoupled, resilient AI architectures.

LLMSystems ArchitectureFoundryIndustry Analysis
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SEPTEMBER 2026
ProgrammingAI/MLPersonal DevelopmentPrompt Engineering

From Typist to Architect: How to Teach Software Engineering in the Age of AI

In the era of generative AI, teaching syntax line-by-line is obsolete. Discover how to mentor junior engineers on architectural patterns, separation of concerns, and guiding AI to produce robust, scalable code.

25 SEP 2026→
Industry AnalysisLLMSystems Architecture

The Regulatory Moat: When the Frontier Becomes a Cartel

The recent viral resignation of an Anthropic researcher revealed more than safety concerns: it exposed an attempt by Silicon Valley insiders to build a regulatory moat around AI. Learn why sovereign, local-first architecture is our only defence against an emerging AI cartel.

19 SEP 2026→
Industry AnalysisLLMProgramming

Why Agentic Coding Won't Make Software Developers Extinct

A recent LinkedIn post claimed agentic AI coding will turn software development into a lost art like blacksmithing. Here is why that argument completely misses how technical abstractions actually work.

18 SEP 2026→
FoundryProgrammingTestingAI/MLPerformance

Being My Own First Customer: What Dogfooding the Rebuilt Foundry Actually Broke

When pointing the newly rebuilt Foundry at a real-world, 5,574-file monorepo, the context graph did not gracefully scale - it broke. Here are the 25 bugs, quadratic bottlenecks, and silent hallucinations uncovered by dogfooding an AI context substrate.

11 SEP 2026→
FoundryLLMPerformanceSystems Architecture

Would You Drive a Ferrari to the Corner Shop? Cut Your AI Costs with Smart Model Routing

Are skyrocketing AI bills eating into your budget? Learn why using frontier models for simple coding and utility tasks is like driving a supercar to buy milk, and how smart model routing can cut compute costs by up to 10x.

4 SEP 2026→
THE ARCHIVE CONTINUES — 62 MORE FRIDAYS →