agentic AI Archives

Tech Optimizer

October 10, 2026

Supabase Announces $150M in New Funding and Turso Acquisition

Supabase has secured 0 million in funding led by GIC, with participation from Alphabet's CapitalG, IronArc, and SquarePeg. This follows a million Series F round four months earlier. Supabase has acquired Turso, a platform for managing databases for agentic workloads, to enhance its product development and provide liquidity for employees. The company is adding over 1 million users and 4 million databases monthly, with 70% created by AI-driven tools, reflecting a 600% year-over-year increase in databases. Turso's architecture allows for on-demand provisioning of databases in public cloud and BYOC setups. Glauber Costa, founder of Turso, will become Head of Agentic Services at Supabase. Supabase, established in 2020, supports over 13 million developers with a comprehensive backend solution.

Tech Optimizer

October 10, 2026

DBtune autonomous optimization blows PostgreSQL bottlenecks away

DBtune, a startup based in Malmö/Lund, Sweden, was founded in 2020 by Dr. Luigi Nardi as a spin-off from Stanford University and Lund University. The company focuses on enhancing PostgreSQL's capabilities through autonomous database optimization technology and has raised .4 million in a seed round from various investors in July 2023, with support from the Wallenberg Foundation and Vinnova. DBtune's technology utilizes agentic AI for optimizing PostgreSQL databases by tuning server parameters, optimizing indexes, and monitoring autovacuum processes. The release of DBtune version 4.0 incorporates machine learning and AI to dynamically adjust server parameters and suggest optimal indexing strategies. The platform identifies and ranks potential index opportunities based on workload and provides recommendations for new indexes and maintenance of existing ones. A case study with Midwest Tape demonstrated a 10.8x performance improvement in database query runtime after employing DBtune for performance tuning. Benchmarking tests showed a transaction throughput increase of 87% during initial optimization, with a further 17% improvement on an already optimized system. Disk I/O activity was reduced by 43%, and WAL generation decreased by 23%. Dr. Nardi emphasizes the need for AI-driven optimization to manage the complexities of PostgreSQL databases and rising cloud costs, suggesting that significant code adaptations will be necessary for achieving fully autonomous PostgreSQL.

Winsage

October 8, 2026

Microsoft revamps Windows for agentic AI

The Fortune Brainstorm AI event is scheduled for December 7 to 8 at the St. Regis in San Francisco, featuring notable attendees such as Fei-Fei Li, Aaron Levie, Richard Socher, Trae Stephens, and Pedro Franceschi. Microsoft is introducing updates to its Windows operating system to integrate AI agents and tools, with CEO Satya Nadella describing it as evolving into a "hybrid intelligence" system. The reimagined Copilot AI app will be integrated into Windows, allowing it to perform tasks autonomously. Microsoft is also launching the Surface Laptop Ultra, priced at ,599, starting October 16. Anthropic has debuted Claude Haiku 5.5, OpenAI introduced GPT-6 to ChatGPT, and Google launched Playground for creating games with AI. Amazon's Ring has unveiled its first smart lock.

Winsage

October 7, 2026

How to watch the Microsoft Windows and Surface event

Microsoft is set to unveil the Surface Laptop Ultra at a Windows and Surface event in San Francisco on a date scheduled for 10 AM PT (1 PM ET). The event will focus on how local AI will influence the future of PCs, particularly following mixed feedback on the previous Copilot implementation. This is Microsoft's first laptop-centric event in two years, featuring speakers like NVIDIA CEO Jensen Huang and Microsoft CEO Satya Nadella. The Surface Laptop Ultra will utilize NVIDIA's RTX Spark superchip, which offers 1 petaflop of AI computing power. Pricing details for the laptop are expected to be revealed during the event. Microsoft has confirmed that there will be no new operating system until at least 2026, focusing instead on enhancements to Windows 11.

Winsage

October 1, 2026

Microsoft Windows and Surface Event: What We Expect to See on Oct. 7

Microsoft will host its first dedicated laptop event in two years on Wednesday in San Francisco, focusing on innovations in Windows and Surface devices. Windows 12 will not be unveiled at the event. The event will discuss how local AI will influence the future of PCs, aligning with Microsoft's AI initiatives and partnerships with chip manufacturers like Qualcomm. Key figures, including CEO Satya Nadella and Pavan Davuluri, will speak. The potential launch of the Surface Laptop Ultra, a 15-inch model powered by Nvidia’s RTX Spark chip, is anticipated, with Nvidia CEO Jensen Huang also attending. Earlier this month, Microsoft introduced new Surface laptops with Snapdragon Elite X2 chips at Qualcomm’s Snapdragon Summit. The computer hardware industry is experiencing rising prices due to increased manufacturing costs and demand for advanced chips, compounded by recent Windows licensing fee hikes. The event will begin at 10 a.m. PT / 1 p.m. ET and can be watched via livestream on YouTube.

Tech Optimizer

August 14, 2026

Databricks’ Electric acquisition adds embeddable PostgreSQL

Databricks has acquired ElectricSQL, a startup specializing in PostgreSQL database capabilities, to enhance its offerings by extending PostgreSQL functionalities to edge devices. The acquisition, announced on August 11, aims to streamline operations for AI agents by allowing local data access. ElectricSQL has developed PGlite, a lightweight WebAssembly version of PostgreSQL for faster data access and real-time synchronization. This acquisition follows Databricks' earlier integration of PostgreSQL capabilities through the acquisition of Neon in May 2025. The founders of Electric, James Arthur and Kyle Matthews, will join Databricks. PostgreSQL has become the most popular open-source database by 2024, recognized for its versatility in handling diverse data types. Databricks' acquisition strategy also includes previous acquisitions like Neon and MosaicML, aimed at enhancing its AI development tools.

Tech Optimizer

July 30, 2026

EDB Says Postgres AI Tops Enterprise AI Data Platform Benchmarks

EnterpriseDB (EDB) has released benchmark results for its EDB Postgres AI (EDB PG AI), showing superior performance compared to various AI data platforms, including vector databases and managed Postgres platforms. The independent testing by McKnight Consulting Group indicated that EDB PG AI outperformed competitors in all evaluated metrics, including query speed, accuracy, and cost efficiency. Key findings include: - EDB PG AI achieved a median query latency of 50 milliseconds at 50 million vectors, making it the fastest platform tested, 80 times faster than Databricks and 21 times faster than MongoDB Atlas. - It demonstrated the highest accuracy for core vector search with a recall rate of 0.911, outperforming MongoDB by 26% and Databricks by 17%. - In a concurrent agent loop test, EDB PG AI completed tasks in 27 milliseconds, significantly faster than MongoDB Atlas (699 milliseconds) and Databricks (5.1 seconds). - EDB PG AI provided 76 times better price performance than Databricks and 34 times better than MongoDB. - The platform integrates vectors, structured data, and analytics within a single operational database, enhancing efficiency and reducing the risk of data inconsistency. The benchmark study assessed the performance of EDB PG AI against Amazon Aurora PostgreSQL, Databricks, Crunchy Bridge, MongoDB Atlas, and open source PostgreSQL, all standardized on equivalent enterprise hardware.

Tech Optimizer

July 29, 2026

EDB Postgres® AI Outperforms Vector Databases, Lakehouses, and Document Stores for Agentic AI on Speed, Accuracy, and Cost

EDB Postgres AI is a pioneering solution that integrates intelligence and data on a unified sovereign foundation, eliminating the need for ETL processes, data duplication, and separate vector stores. Independent benchmarks show that EDB Postgres AI outperforms competing platforms in speed, accuracy, and cost-effectiveness. A study by McKnight Consulting Group indicates that EDB Postgres AI excels in key performance metrics, including query latency, accuracy, cost, and data freshness, outperforming specialized vector databases and other managed Postgres platforms. EDB Postgres AI achieves median query latencies of 50 milliseconds at a scale of 50 million vectors, making it 80x faster than Databricks, 21x faster than MongoDB Atlas, and up to 2x faster than alternatives like Aurora and Crunchy Bridge. It also delivers the highest recall rates for core vector searches, surpassing competitors like MongoDB and Databricks. In tests involving concurrent retrievals, EDB Postgres AI completed a three-arm agent loop in 27 milliseconds, significantly faster than other platforms. In terms of cost efficiency, EDB Postgres AI offers 76x better price performance than Databricks, 34x better than MongoDB, and 23%–28% better than the nearest managed Postgres competitors when considering query speed. The architecture of EDB Postgres AI allows for the integration of vector, filtered, and full-text retrieval in a single query path, ensuring real-time data access and eliminating the need for separate systems.

AppWizard

July 28, 2026

After leaving Epic Games last month, its former ‘Unreal evangelist’ is now building his own game engine

Sjoerd De Jong left Epic Games after 12 years as the lead evangelist for Unreal in June. He plans to create his own game engine, tentatively named Immens, to address the complexities of established engines like Unreal and Unity. De Jong believes there is a need for a modern engine designed from the ground up and envisions incorporating large language models and generative AI tools into the gaming ecosystem. He aims for Immens to be adaptable for AI integration while emphasizing the importance of developers in maintaining the artistry of game creation.

Tech Optimizer

July 10, 2026

Google Cloud: PostgreSQL community contribution updates

Google Cloud actively participates in the PostgreSQL ecosystem by supporting community-driven events and contributing to open-source initiatives. Recent key events include: - **PGConf.dev 2026**: Featured strategic discussions on logical replication and global index architecture, with a consensus to adopt a deparsing-based approach for DDL replication. Dilip Kumar presented on global indexes. - **PGConf India 2026**: Attracted over 580 participants, featuring various sessions including keynotes and technical talks by Google Cloud contributors. - **PGDay Paris & PGDay France 2026**: Matt Cornillon was involved in organizing PGDay France, with sessions led by him and Yves Colin. - **PGDay FOSDEM 2026**: Focused on AI-assisted workflows in PostgreSQL development, with a technical talk by Matt Cornillon. - **PGConf Belgium 2026**: The session was selected as supplementary material for a database exam, indicating student engagement. - **Nordic PG Day 2026**: Google participated as a Partner-level sponsor and hosted a dedicated booth. - **Swiss PGDay 2026**: Featured a demonstration on processing vectors in PostgreSQL. - **Postgres Conference 2026 San Jose**: Google sponsored the event, with Vikas Arora discussing PostgreSQL adaptations for AI workloads. Community leadership roles included: - Dilip Kumar on the Program Committee for PGConf.dev 2026 and the Paper Selection Committee for PGConf India 2026. - Matt Cornillon on the organization committee for PGDay France, and Yves Colin on the Program Committee. Acknowledgment was given to various contributors for their dedication to PostgreSQL conferences.