Community tech articles
Technology articles, tutorials and experiments written by the RecallRun community.
Tech articlesVector embeddings explained for developers: similarity, normalisation and the mistakes that hurt search
What an embedding really is, how cosine similarity and dot product relate, why you should normalise, and the practical mistakes that quietly make semantic search worse.
Tech articlesGit workflows for small teams: trunk-based development vs feature branches
How trunk-based development, short-lived feature branches and GitFlow compare for teams of two to twenty, and the habits that make whichever you choose run smoothly.
Tech articlesLogs, metrics and traces: a practical introduction to observability with OpenTelemetry
What each signal is for, how they fit together through trace ids, and how to instrument a Python service with OpenTelemetry without drowning in data.
Tech articlesCaching for backend engineers: cache-aside, TTLs and the stampede problem
The caching patterns you will actually use, how to pick TTLs, how to invalidate safely, and how to stop a cache miss from turning into a thundering herd on your database.
Tech articlesPrompt injection: practical defences for LLM apps that read untrusted text
Any LLM feature that reads emails, web pages or user uploads can be steered by text hidden inside them. Here is a layered set of defences that work in production, and why no single one is enough.
Tech articlesComposite indexes in SQL: why column order decides everything
How a multi-column B-tree index is actually used, the leftmost-prefix rule, and a simple way to choose column order for filters, ranges and sorting, with EXPLAIN examples.
Tech articlesIdempotency keys: making POST requests safe to retry
Networks fail halfway through requests. Here is how idempotency keys let clients retry payments, orders and other writes without creating duplicates, with a working FastAPI pattern.
Tech articlesasyncio, threads or processes? Choosing Python concurrency by workload
A practical decision guide: which Python concurrency model fits I/O-bound, CPU-bound and mixed workloads, with small runnable examples and the traps to avoid.
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