- engineering 21
- agents 14
- claude-code 12
- rag 10
- memory 7
- architecture 6
- operations 5
- migration 4
- security 4
- hooks 3
- vault 3
- durability 2
- honest-tradeoffs 2
- multi-agent 2
- query-planner 2
- queues 2
- self-hosting 2
- skills 2
- storage 2
- transactions 2
- afk 1
- chunking 1
- compliance 1
- concurrency 1
- context-engineering 1
- cost 1
- cost-tracking 1
- data 1
- decision-frameworks 1
- disaster-recovery 1
- evals 1
- firebase 1
- hardware 1
- incident 1
- intro 1
- isolation 1
- kubernetes 1
- learning 1
- manifesto 1
- mcp 1
- mongodb 1
- observability 1
- ops 1
- performance 1
- persistence 1
- pgvector 1
- postgres 1
- regression-testing 1
- sagas 1
- sdk 1
- search 1
- slash-commands 1
- stride 1
- threat-model 1
- tutorial 1
- vector 1
- wal 1
- MAY 2026
One WAL, four data models: how cross-modality transactions actually work
A deep dive into the shared write-ahead log that lets a document update, a vector insert, a KV write, and a blob commit land in the same transaction. Record layout, the fsync contention tradeoff, and the four mitigations we shipped before the tail latency became someone else's incident.
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Stop stitching Postgres, pgvector, S3, and Redis
Every modern app you ship is four databases in a trenchcoat. Here is the bill — in failure surfaces, ops playbooks, and consistency models — that nobody costs out before signing.
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The tradeoffs we made to fit four engines in one
Document, vector, KV and blob in the same transaction is not free. Here's the per-modality tuning surface we cut, the plugin story we sacrificed, and the cold-blob latency tail we accepted.
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RAG without a second database
When your vectors live on the same row as the document they describe, the entire CDC-and-backfill layer of a RAG pipeline disappears — and a class of stale-retrieval bugs goes with it.
- APR 2026
Why 'best of breed' loses at small scale
The ops cost of running four engines instead of one, measured in person-hours at team sizes of 2, 5, and 15 engineers. Multi-model isn't only a scale concern — it's a small-team unlock.
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When you don't need RedDB
An honest list of workloads where Postgres + pgvector, SQLite, or a single-purpose store will serve you better than RedDB. If your shape is on this list, save yourself the migration.