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PulseAugur coverage of PostgreSQL — every cluster mentioning PostgreSQL across labs, papers, and developer communities, ranked by signal.

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  1. 2026-05-19 research_milestone Gleb Otochkin to present on vector data handling for AI in PostgreSQL at PG DATA 2026. 来源
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最近 · 第 2/4 页 · 共 67 条
  1. TOOL · CL_35567 ·

    AI uncovers two-decade-old bugs in PostgreSQL and MariaDB

    An AI system has successfully identified long-standing vulnerabilities within the PostgreSQL and MariaDB database systems. These bugs, some dating back two decades, were uncovered by the AI, highlighting its potential f…

  2. COMMENTARY · CL_35400 ·

    Solo dev slashes latency 90x by moving services from Postgres to SQLite

    A solo developer has successfully migrated five internal services from managed PostgreSQL databases, such as Neon and Supabase, to SQLite. This transition significantly reduced latency, with query times dropping from an…

  3. RESEARCH · CL_36434 ·

    Baro's parallel Claude agents lose to single-session /goal

    A developer created a tool called Baro that runs five parallel Claude sessions to complete coding tasks, aiming to be faster than a single session. However, initial tests showed Baro was slower and used more tokens than…

  4. TOOL · CL_34833 ·

    LiteLLM releases open-source Kubernetes platform for production AI agents

    BerriAI has released the LiteLLM Agent Platform, an open-source, self-hosted infrastructure layer built on Kubernetes. This platform is designed to reliably run multiple AI agents in production environments, addressing …

  5. TOOL · CL_33511 ·

    Glad Labs ships voice agent stability, FinanceModule for cofounder-OS

    Glad Labs has released updates for their cofounder-OS, focusing on stabilizing their voice agent and deploying the initial FinanceModule. The voice agent now handles race conditions more gracefully by retrying conversat…

  6. TOOL · CL_30296 ·

    Ardent offers instant Postgres sandboxes for AI agents

    Ardent has launched a new platform designed to provide AI agents with instant, isolated sandboxes of production PostgreSQL databases. This allows for safe and efficient testing of database code and data manipulation tas…

  7. RESEARCH · CL_28375 ·

    ML-Embed framework offers efficient, multilingual text embeddings

    Researchers have introduced ML-Embed, a new framework designed to create more inclusive and efficient text embeddings. This framework, called 3-Dimensional Matryoshka Learning, addresses computational costs, expands lin…

  8. TOOL · CL_26001 ·

    ToolCairn tackles agent tool selection after MCP solves access

    The MCP (Model Communication Protocol) standard has addressed the challenge of agents accessing tools by providing a unified interface. However, a new problem has emerged where agents are overwhelmed by too many tool op…

  9. TOOL · CL_25027 ·

    Pipeline powers Korean entertainment database with Supabase and Prefect

    This article details the engineering behind a pipeline designed to consolidate data for Korean entertainment content, addressing the fragmentation across various sources and the lack of public APIs. It explains the choi…

  10. TOOL · CL_24741 ·

    Free database client consolidates five tools for multi-engine workflows

    A user found that a single, free database client tool effectively replaced five other specialized tools in their daily workflow. This consolidation streamlined their process when working with multiple database engines, …

  11. TOOL · CL_24213 ·

    Heimdall MCP adds OpenTelemetry tracing to servers

    Heimdall MCP is a new transparent proxy tool designed to provide visibility into MCP server interactions. It sits between MCP clients and servers, recording all communication as OpenTelemetry spans without requiring mod…

  12. COMMENTARY · CL_23280 ·

    Coding agents require context curation, not just prompt tweaking, for effective use

    A developer shares insights from a year of using coding agents as their primary engineering partner for building a full-stack enterprise application. The key takeaway is that effective use of these agents shifts focus f…

  13. TOOL · CL_21333 ·

    Databricks lakebase architecture boosts Postgres write speeds up to 5x

    Databricks has introduced a new lakebase architecture that significantly enhances PostgreSQL write performance, achieving up to a 5x improvement for write-heavy workloads. This architecture separates compute and storage…

  14. TOOL · CL_19548 ·

    PostGIS performance tuning with pg_stat_statements and PostgreSQL

    This article details how to optimize the performance of PostGIS, a spatial database extender for PostgreSQL. It focuses on using the "pg_stat_statements" extension to identify and analyze slow queries. The author provid…

  15. TOOL · CL_17103 ·

    MCP servers need scalable architecture beyond simple PoCs to handle production load

    This article discusses common architectural pitfalls that cause Model Context Protocol (MCP) servers to fail under production load. It highlights issues like in-process state, synchronous flows, lack of rate limiting, a…

  16. TOOL · CL_15198 ·

    CodeTrendy lists MovieVital, a movie recommendation tool built with AI and Next.js

    CodeTrendy has listed a new tool called MovieVital, designed to help users discover movies they might enjoy. The tool is built using Next.js and PostgreSQL, and it integrates with Claude, an AI model from Anthropic.

  17. COMMENTARY · CL_17098 ·

    Build Your Own Agentic OS: Phone, Pi, or MacBook in 2026

    A new guide explores building an "agentic OS" using AI models, demonstrating that complex software development can be done without a traditional desktop environment. The author highlights using Anthropic's Claude Code o…

  18. COMMENTARY · CL_14299 ·

    Microsoft experts discuss PostgreSQL's evolution into an 'everything database'

    Microsoft employees Varun Dhawan and Abe Omorogbe are presenting at POSETTE 2026 on the evolving role of PostgreSQL. Dhawan will discuss PostgreSQL's transformation into an 'everything database,' moving beyond its tradi…

  19. TOOL · CL_13748 ·

    Database engineer joins Tiger Data to build AI-ready time-series systems

    A database engineer is joining Tiger Data, previously known as Timescale, in a new role focused on PostgreSQL optimization. The engineer will apply their expertise to time-series data, aiming to assist teams in building…

  20. COMMENTARY · CL_13498 ·

    AI development demands detailed specs; author builds Acai.sh toolkit

    The author describes a personal journey through "AI psychosis," where they became obsessed with creating detailed specifications for AI agents. This led to building complex systems for generating and managing these spec…