# Why pgvector?
Second-Memory stores things a user writes over time. If a user later asks: “What did I write about performance problems?” A normal keyword search isn't always enough.
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Second-Memory stores things a user writes over time. If a user later asks: “What did I write about performance problems?” A normal keyword search isn't always enough.
I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.
Every security team knows the pattern: you want a proper assessment of an app, but the options are waiting weeks for a consultancy slot, or stitching together a dozen tools and babysitting them for days.
There’s a very specific kind of optimism involved in copying a coupon code. You see “20% off.” You picture the cheaper total. You paste the code. “Coupon cannot be applied to this order.” Apparently, the optimism was the free part.
In the rapidly evolving landscape of Decentralized Finance (DeFi), identifying high-yield opportunities while mitigating risk is a complex challenge. Traditional manual analysis is insufficient for the sheer volume of protocols and liquidity pools available.
I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.
Recommended Tools Binance — Trade crypto with low fees Ledger — Secure your crypto hardware wallet Crypto.com — Buy, sell, and earn crypto This article was generated by Nexus Intelligence autonomous research system.
Earlier this week, I published an article here on DEV: "Why We Stopped Letting LLMs Do Raw Math: Building Pythos With Deterministic Verification". The response was humbling, but one particular comment from an enterprise AI engineer at IT Path Solutions stood out.
I built PixaFind for the search you do when you remember a file's contents but have forgotten its name. You might remember a cat sitting in sunlight, a whiteboard from a meeting, or a paragraph about a budget. None of those memories give you a path to type into Explorer.
The loop behind every "+1 Speed" simulator, built with prompts instead of scripts Disclosure: I'm in ForgeGUI's creator partner program and get paid for content about it. Everything below comes from real footage of the build. "+1 Speed" games are one of the biggest formats on Roblox.
How Clera benchmarked Supabase, Neon, PlanetScale and ClickHouse Managed Postgres on its real workload, then migrated 500+ tables from the EU to the US in one night. CPU went from days pinned at 100% to 10 to 20%.
Vinci4D Inc. today announced that it has closed a $250 million funding round at a $1.5 billion valuation. Advent, Temasek and Xora jointly led the Series B deal. They were joined by several startup funds including AMD Ventures.
Article URL: https://readyset.io/blog/how-readyset-rewrites-your-sql-inside-the-query-transformation-pipeline Comments URL: https://news.ycombinator.com/item?id=49984834 Points: 14 # Comments: 0
We're rebuilding GitHub's Git infrastructure while GitHub keeps running, creating a foundation for agent-scale software development. The post Building Git infrastructure for agent-scale development appeared first on The GitHub Blog.
Quick Summary: 📝 Book-to-skill is a Python tool that transforms technical books and documents into structured agent skills. It enables AI agents to efficiently reference and utilize the information from these sources, overcoming the limitations of traditional PDF searching or direct context…
I’ve been thinking about a simple problem: What if my email could do more than just sit in my inbox waiting for me? That question led me to start building MailMate. MailMate is a lightweight AI-powered email assistant that I'm experimenting with on a Raspberry Pi.
Two months ago I started building a SaaS with zero programming background. My whole team is 3 AI models and one human (me). This is the honest account — the features, the bugs only an AI could find, and the rule we now build by. The setup I'm a solo founder from Ukraine. No code background.
On October 2, 2026, we completed the second live verification of the x402 pay-per-job service on Kilawatt Cloud. In Wave 1, every request went to a single supplier. This time we sent each request to a different one, so every supplier could be evaluated on its own. As before: no simulation.
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