·8 min read
what an AI SDLC actually is (and what it isn't)
An AI SDLC uses AI across the software lifecycle inside a verification harness. Here's what that means in practice — and what it doesn't.
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thinking out loud.
Essays on technical validation, startup engineering decisions, and why most founders build too much, too early.
·7 min read
startup validation with code: how to kill a bad idea cheaply
Startup validation with runnable code beats decks and surveys. How to test your riskiest assumption in a week and decide build, pivot, or stop.
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prototype vs MVP: which should you build first?
Prototype vs MVP explained: what each proves, what each costs, and how to pick the cheaper mistake before you spend your runway.
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How we hosted 7 WordPress sites on one $5 VPS with CloudPanel
A codebefore case study: replacing a sprawling Docker-compose setup with a single Contabo VPS running CloudPanel — cheaper, calmer, and 80% idle.
read more·22 min read
why my basis trading bot hasn't blown up my account yet
Nine months. Five hundred tests. One 3 AM panic attack. Here's what I actually learned building a delta-neutral crypto bot — and most of it has nothing to do with trading.
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achieving microsecond latencies with Java: practical techniques for building ultra‑fast systems
How we stopped writing "good Java" and started writing hardware‑aware Java — complete code examples from production trading systems that maintain sub‑microsecond latency under massive load.
read more·15 min read
building a legal chatbot for a Bulgarian law firm without overengineering it
How we replaced a five-service RAG architecture with FastAPI, LangChain, and pgvector — and why it was the right call for this client.
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building a data mart without ETL: how we replaced Spark and Airflow with pure ClickHouse
How a single Go binary and a handful of materialized views replaced what would traditionally require Kafka, Spark, Airflow, and a team of data engineers.
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