GPT vs Claude vs Llama in production: choose by task type
Four kinds of LLM work, the model tier that wins each one, and the volume at which running open weights yourself starts to make sense.
Fixed-price MVP development: the scope discipline that makes it work
What has to be true about the scope for a fixed-price MVP to work, what it costs in 2026, and the red flags in any fixed quote.
AI voice agent architecture: the four parts that decide if it ships
Where each layer of a production voice agent breaks on live phone calls, and the order we'd build them in, from voice agents we run in production.
Senior engineer retainer vs. full-time hire: the real math (2026)
What a US senior hire costs in year one, line by line, next to a retainer - and the four cases where hiring full-time still wins.
Code Rescue vs a full rewrite: the real math for vibe-coded MVPs
How to tell whether your cracking Lovable or Bolt app needs a targeted fix or a clean rebuild, and what each one costs.
Five production failure modes in every Lovable and Bolt MVP
Auth holes, silent errors, N+1 queries, no monitoring, fragile schemas: what breaks a Lovable or Bolt app under real users, and the order to fix them.
pgvector vs Pinecone: when Postgres stops being enough
The four signals that tell you pgvector has hit its limit, and the fixes to try inside Postgres before you pay for a second database.
Lovable vs Bolt vs Cursor: which vibe-coded MVP survives to production (2026)
What breaks first in apps built with Lovable, Bolt and Cursor, what each costs to fix, and how to pick the tool that fits your team.
When to rebuild your Bubble app in code - and when to stay
The four signs a Bubble app has outgrown the platform, and how to move to code one piece at a time without freezing the product.
English-to-SQL at a million users: what breaks, in order
The five things that broke as FormulaBot's English-to-SQL pipeline grew to 1.5M+ users, and the order we'd build the fixes in.
Prashant Abbi
Khushi Arora