Engineering Decisions1 min readBy Software Chains
SmithDB Explained
What production AI teams should learn about agent observability, traces, and product feedback loops.
Read SmithDB ExplainedInsights - Engineering decisions for SaaS founders building AI products
Practical writing for SaaS founders making technical decisions around AI products, LLM applications, MVP architecture, and production delivery.
Practical writing on LLM applications, AI product delivery, MVP architecture, and founder-led technical decisions. No generic agency content. No inflated case studies.
For hands-on delivery, review AI product engineering for LLM apps.
Engineering DecisionsFounder GuidesField Notes
Engineering Decisions2 min readBy Software Chains
Why Most LangChain Apps Break After the Demo
LangChain helps teams prototype quickly. Production agents need state, memory, tool safety, observability, permissions, retries, recovery, and human review.
Read Why Most LangChain Apps Break After the DemoEngineering Decisions5 min readBy Software Chains
Why most startup AI prototypes fail before production
Most AI demos fail not because the model is bad, but because the product system around the model is weak.
Read Why most startup AI prototypes fail before productionFounder Guides5 min readBy Software Chains
The hidden cost of hiring cheap engineering teams for your MVP
Cheap hourly engineering often looks affordable upfront. The real cost appears later as rework, unclear ownership, slow decisions, and product drift.
Read The hidden cost of hiring cheap engineering teams for your MVPField Notes5 min readBy Software Chains
When Cursor, ChatGPT, and Claude accelerate delivery — and when they do not
AI tools can increase delivery speed, but they do not replace product judgment, architecture ownership, QA, or release discipline.
Read When Cursor, ChatGPT, and Claude accelerate delivery — and when they do notFounder Guides6 min readBy Software Chains
AI Prototype Production Readiness Checklist
A practical checklist for SaaS founders deciding whether an AI prototype is ready for production or needs stabilization first.
Read AI Prototype Production Readiness ChecklistFounder-led product engineering
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