Bug reports on the pgsql-bugs mailing list rose between May and September, while pgsql-general traffic fell. Depesz attributes this to LLMs: more people use AI to research and find bugs, but also use AI instead of asking questions on mailing lists. IRC traffic also dropped, from an average of 5900 messages per month in 2024 to about 700 per month recently. Slack and Discord discussions have nearly disappeared too. Traffic to the explain.depesz.com query plan visualizer also fell significantly, which the author partly attributes to people moving to other visualizers and, he guesses, to people trusting LLMs to optimize queries without reading the explain output themselves.
Nguồn: https://www.depesz.com/2026/11/09/what-llms-do-to-postgresql-and-dbas. 8 Sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.
Đọc tin ở đây, luyện code, học theo lộ trình và luyện IELTS trên các sản phẩm anh em — tất cả kết nối với nhau trong hệ sinh thái 8 Sync.
Cổng chính của hệ sinh thái: giới thiệu sản phẩm, blog và bảng giá trọn bộ.
Khám pháHọc theo lộ trình rõ từng chặng: video, quiz chấm tự động, certificate và mentor đang làm nghề.
Xem lộ trình1.000 bài DSA, đề tiếng Việt, chấm tự động 7 ngôn ngữ — nhiều bài FREE, chạy ngay trên trình duyệt.
Luyện miễn phíChấm bốn kỹ năng IELTS bằng AI, phản hồi chi tiết theo rubric.
Dùng thử miễn phíAI IDE 22 MB cho dev Việt.
Tải miễn phíBộ nhớ tổ chức cho AI agent.
Khám pháAI trực Fanpage, tự sàng lọc lead.
Dùng thửUltorg is an efficient, spreadsheet-like user interface for relational databases. Query and edit data across tables and relationships, without SQL.
Anchor is a self-hosted notes app with offline editing, mobile apps, automatic syncing, note sharing, and Docker support.
I priced 30 days of my real Codex usage at API rates. A $100 plan covered $745 of API-equivalent work. Here's the math, the script to run on your own logs, and when the API still wins.
Choosing between AI pentesting vendors requires looking past marketing labels like 'autonomous' or 'agentic' because the underlying systems vary widely. A Stanford-led study ran different AI agent frameworks against a live 8,000-host network and found that between 55% and 82% of reported findings were confirmed as real vulnerabilities. Swapping only the underlying model moved one framework's valid finding rate from 57% to 80%, yet that same framework still scored lowest overall since its findings stayed shallow. On a CTF-style benchmark two frameworks scored near-identically (48.6% vs 45.9%), but on the live network one scored nearly three times higher on severity and complexity. Buyers should demand proof of exploitation, real-network results, clear safety controls, data handling answers and clarity on what 'continuous' actually means.
Event-driven systems only agree eventually. Here’s how we check they actually got there: deadlines, data ownership, and a reconciliation job that walks the floor.
...explained visually (with tradeoffs in production).
OccupySaaS is a protest movement in code: laid-off developers building clean-room, open-source, drop-in replacements for the SaaS giants. First up: ZeroAuthy (Auth0) and SalesCompel (Salesforce).
json vs jsonb in PostgreSQL 17 and 18, measured on six document shapes: when jsonb is 23% smaller or 41% larger, read speed, GIN, and what it changes.
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