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Vibe Coding2026-08-13 · source-backed
alchemy-utils 0.1a0 reimplements sqlite-utils' core API on SQLAlchemy so it runs against PostgreSQL, SQLite, and DuckDB with identical calls. The prompt specified the reference implementation path, mandated red/green TDD with pytest, named a repo to copy the Postgres test strategy from, and required uv init plus early frequent commits. Very few follow-ups to releasable alpha. That prompt shape, reference implementation, test discipline, a named repo to imitate, is the reusable part.
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The 8-years-planned migration landed this weekend via a 735-line, 30-commit change, and notably ended on SQLite instead of the PostgreSQL originally targeted in 2018. The site now runs a 3.8GB content DB plus separate cache, queue, and security databases on a single box, with...
Prompted by Julia Evans admitting on July 17 that she still can't read query plans, Willison had Fable build a tool that runs arbitrary SQL against a SQLite database and renders both EXPLAIN QUERY PLAN and the lower-level EXPLAIN bytecode with per-line plain-English annotation...
His conclusion is DuckDB matches or beats SQLite's safety for untrusted queries, but only with enable_external_access=false, lock_configuration=true, and a watchdog thread, since DuckDB lacks SQLite's opcode-based query timeouts. He ships a safe_duckdb.py helper and a Datasett...
The submission titled "CEO fired developers to make room for AI. Developers create open source AI CEO" pointed at SenteLabsAI/OpenExecutive, an Apache-2.0 FastAPI and Next.js 15 app running eight specialist Claude agents (CSO, CFO, CHRO, General Counsel, COO, CMO, CPO, Board C...
MIT-licensed alpha. Each "coworker" gets a real browser with its own logins, its own files and only granted tools, with every action decided before it happens and recorded after. Runs on Docker Compose against your own PostgreSQL, no model ships in the box, admin credentials e...
Triple-stream retrieval (BM25 keyword, vector embeddings, knowledge-graph traversal) fused via Reciprocal Rank Fusion on the iii engine, with SQLite for state and an in-memory vector index, no external database. The economic claim: ~170K tokens/year (~$10) versus ~650K tokens...
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