Tags

29 tags, 29 posts.

#fundamentals13 posts
Foundational posts — the explanations I wish I had when I was learning these topics myself.
#machine-learning11 posts
#database10 posts
Posts on database internals — storage layouts, indexing, query planning, and the trade-offs that come up at scale.
#mathematics8 posts
#performance6 posts
Performance posts — profiling, measurement, and the surprises that appear when you actually look.
#postgresql6 posts
PostgreSQL-specific posts — query plans, index types, vacuum, and how the server actually executes your SQL.
#internals5 posts
How things actually work under the hood — pages, plans, runtimes, and the layers most code never touches.
#learning5 posts
Posts about learning itself — building expertise, mental models, and habits that compound.
#mental-models5 posts
Frameworks for thinking — distinctions, trade-offs, and the lenses that change how I approach problems.
#wealth5 posts
Notes on wealth-building from a personal-learning series — ownership, leverage, specific knowledge.
#llms3 posts
#sql3 posts
SQL posts — query patterns, EXPLAIN output, and the gotchas that silently kill performance.
#architecture2 posts
#distributed-systems2 posts
#ai-tools1 post
#claude-code1 post
#concurrency1 post
#data-structures1 post
Notes on the data structures behind the systems we use every day — trees, hashes, and the trade-offs between them.
#debugging1 post
Debugging posts — concrete techniques for finding bugs in real systems, not just toy examples.
#go1 post
Go-language posts — profiling, performance, runtime behaviour, and idioms that hold up in production.
#golang1 post
#javascript1 post
#neural-networks1 post
#productivity1 post
#replication1 post
#scaling1 post
#security1 post
#transactions1 post
Transactions and concurrency — isolation levels, anomalies, and what your database is really promising.
#workflow1 post