Why Manual Test Cases Should Live in YAML
A developer argues that manual test cases should be stored as YAML files in version control rather than in SaaS databases. The approach leverages AI for case generation, enables PR-based review via gi…
A developer argues that manual test cases should be stored as YAML files in version control rather than in SaaS databases. The approach leverages AI for case generation, enables PR-based review via gi…
Mltrackr launches a lightweight ML experiment tracking tool that requires no server, no account, and no configuration, logging metrics in two lines of code. The open-source Python package stores data …
Loomcycle v1.2.0 introduces SQL Memory, a third facet of the Memory primitive, enabling authorized agents to run arbitrary SQL against per-scope databases. The update includes two new ops (sql_exec, s…
Game developer Jack Franklin built a custom SQLite-based feedback tracking system for his game OnTrack using Claude Code as a pair programmer, replacing a 3,000-line Markdown file to improve token eff…
PMB is a new open-source tool that gives AI coding agents persistent local memory via SQLite, enabling sub-millisecond recall across Claude Code, Cursor, Codex, and Zed without cloud dependencies.…
Migratrom, a new open-source tool for PostgreSQL and SQLite, enables developers to write typed, self-verifying database schema migrations in their application language, with idempotent operations, tam…
EverMind has open-sourced EverOS, a local-first memory runtime for AI agents that stores memory as plain Markdown indexed by SQLite and LanceDB, featuring hybrid BM25 + vector retrieval, multimodal in…
An open-source MCP server called codebase-memory-mcp, built by DeusData, cuts the token cost of structural code queries by up to 121x by using a persistent knowledge graph. The tool, trending #1 on Gi…
A Rust toolkit for reverse-engineering the Oura Ring's BLE protocol enables cloud-free data access from Gen 3/4/5 rings, including live heart rate, SpO2, sleep stages, and activity MET levels, bypassi…
A developer working through Module 2 of a course on vector search explains key concepts behind embeddings, cosine similarity, chunking, and hybrid search. The post clarifies that embedding shape and f…
A developer created monlite, a TypeScript library that consolidates document storage, vector search, full-text search, key-value caching, job queuing, and cron scheduling into a single SQLite file. Th…
Developer cw has released cwnews, a terminal-based Hacker News reader built in Go using Bubbletea v2, featuring AI-powered comment thread summarization via DeepSeek V4 Flash. The tool caches data in S…
A developer released nine open-source Telegram bot templates on GitHub, covering use cases such as AI assistants, booking systems, crypto alerts, job channels, price monitors, restaurant reservations,…
Clawie, a new AI coding agent tool, launches with a packaged workspace combining Rust and Python sides, featuring a Lean Ladder to prevent over-engineering, a REPL with commit and undo commands, SQLit…
A developer built a Text-to-SQL assistant using Python, Hugging Face's Inference API, and Streamlit, enabling users to query databases in plain English. The project leverages a fine-tuned T5 model to …
A developer built a Text-to-SQL Query Generator using Python, Streamlit, and Hugging Face's t5-base-finetuned-wikiSQL model, enabling users to query databases in plain English. The app translates natu…
Developer cwcode released cwmail, a terminal email client written in Go using Bubbletea v2, featuring native HTML rendering, inline image support, multi-account IMAP, and AI-drafted replies powered by…
Developer Utpal Nadiger built an open-source AI BDR agent called Open Ava, inspired by Artisan's Ava, using OpenComputer, FastAPI, SQLite, AgentMail, and Anthropic. The agent researches leads, drafts …
GLM-5.2 from Z.ai shows inconsistent code review quality depending on prompt phrasing, according to a controlled test by Kilo Code CLI. On a straightforward codebase with 16 planted bugs, the model ca…
Developers building production AI agents in 2026 are using simple vector search, keywords, BM25, text matching, and RRF for long-term memory, avoiding graph construction due to costs. One team reports…