AI agents Archives

Winsage

June 19, 2026

Sorry Microsoft, Windows 10 taskbar is still better than Windows 11, and here’s why

The taskbars of Windows 10 and Windows 11 differ significantly in design and functionality. Windows 11 features a centered icon layout by default, while Windows 10 has left-aligned icons. The search functionality in Windows 10 includes a larger "Type here to search" bar, whereas Windows 11 offers a more compact search button or box. Windows 10's right-click menu provides extensive customization options directly, while Windows 11's is more minimalistic and requires navigating to settings for customization. Windows 10 allows users to toggle small taskbar buttons, a feature that was initially absent in Windows 11 but has since been reintroduced. Taskbar repositioning in Windows 10 is straightforward, while Windows 11 requires accessing settings for repositioning. Windows 11 combines app icons by default and hides labels, complicating navigation compared to Windows 10's clearer visual cues. The Start menu in Windows 10 is resizable and features Live Tiles, which are not present in Windows 11's fixed-size Start menu. Windows 10's News and Interests feature contrasts with Windows 11's Widgets board, which has been criticized for being intrusive. Windows 11's Quick Settings separates toggles and notifications into two panels, enhancing user experience, while Windows 10's clock flyout offered a native agenda view that has been removed in Windows 11. Windows 11 includes a performance enhancement for taskbar flyouts to improve responsiveness on budget hardware, a feature not needed in Windows 10. Additionally, Windows 11 introduces a Resume function for Android activities and is developing AI integrations for the taskbar, which are not available in Windows 10.

Tech Optimizer

June 18, 2026

Snowflake Postgres Unifies Your Apps, Analytics and AI

Every enterprise operates in two realms: one for real-time applications that process orders and engage customers, and another for analytics platforms that extract insights and drive AI. Snowflake is introducing Snowflake Postgres to bridge these realms with two key features: 1. Data mirroring, which is an always-on replication feature between Postgres and Snowflake, set to enter public preview soon. 2. Postgres for data lakes, allowing synchronization with analytics using open formats like Iceberg, which will be generally available shortly. These features aim to simplify the connection between transactional and analytical data, reducing the need for complex ETL pipelines. Customer feedback indicates that transferring data between OLTP and OLAP databases is the most challenging infrastructure task, leading to costs and issues such as data inconsistencies and delayed decision-making. Snowflake Postgres offers a simplified integration method with low-latency data mirroring that automatically maintains target tables in Snowflake to reflect the current state of source tables in Postgres. This setup can be configured easily through various interfaces or a single SQL command.

Tech Optimizer

June 18, 2026

Companies turn to EnterpriseDB for AI data control

Organizations are increasingly adopting EnterpriseDB's EDB Postgres AI platform due to a rising demand for enhanced control over data in AI systems, particularly in sectors like banking, insurance, retail, and trading. Research from MIT Technology Review Insights indicates that prioritizing AI and data sovereignty significantly predicts success in AI initiatives, with such organizations achieving five times the return on investment. In South Korea, the Industrial Bank of Korea migrated 15 core systems to EDB Postgres AI, citing significant reductions in licensing costs compared to Oracle and improved scalability for future AI services. Shinhan EZ Insurance transitioned its core system to the public cloud using EDB, overcoming challenges related to legacy database licensing and emphasizing the importance of operational stability. Beyond finance, companies like MNTN, Euronext FX, and Kyobo Book Centre have adopted the platform to reduce vendor reliance, manage data workloads, and enhance compliance control. MNTN uses EDB for large-scale analytical processing, Euronext FX has implemented it across four data centers, and Kyobo Book Centre migrated from a costly data warehouse to the EDB solution. A common trend among these deployments is the use of a single Postgres-based platform for transactional processing, analytics, and AI tasks, reflecting an industry initiative to simplify operations and reduce costs. Hensley noted the critical convergence of AI systems with operational data, as AI agents operate against live data in high-volume workflows, highlighting the drawbacks of using separate platforms for transactions and analytics. EnterpriseDB has also received industry accolades for its data management and contributions to the open-source community, reinforcing its market position.

Tech Optimizer

June 17, 2026

Databricks Puts AI Search Inside Postgres

Databricks has introduced Lakebase Search, a feature that integrates advanced search capabilities into its Lakebase Postgres database, currently in beta on AWS and Azure. This feature aims to enhance AI agent development by embedding native retrieval functions within the data backend. It addresses the challenge of "Vector Bloat Cost" by utilizing tiered storage for optimized data access and retrieval efficiency. Lakebase Search includes two new Postgres extensions, lakebase_vector and lakebase_text, which enable hybrid search capabilities that combine vector and full-text search functionalities. This integration streamlines the AI agent loop, improving agent-first ergonomics and allowing developers to create more efficient AI systems.

AppWizard

June 16, 2026

Malaysia’s AI agent-powered messaging app Respond.io raises $62.5M, eyes acquisitions

In 2017, Respond.io was founded to help businesses adapt to customer shifts towards messaging applications. It is headquartered in Kuala Lumpur and recently raised million in a Series B funding round, following a million Series A round in 2022. The company reported an annual recurring revenue (ARR) of million, a 169% year-over-year increase, with a 30% profit margin. Co-founders include Gerardo Salandra (CEO), Hassan Ahmed (CTO), and Yaroslav Kudritskiy (COO), who initially started the company in Hong Kong before relocating to Malaysia. Respond.io's platform caters to mid- to large-sized B2C enterprises, facilitating customer interactions across various messaging channels and utilizing AI for efficiency. The target market consists of "high-consideration" businesses, with an ideal customer profile of companies having 200 to 10,000 employees. Respond processes 2 billion messages quarterly and has a unique pricing model based on conversation volume rather than per user. The company emphasizes a data flywheel effect that enhances AI capabilities through increased message volume. Plans for growth include hiring, organic expansion, and strategic acquisitions, particularly in Europe and North America, which are projected to become larger revenue segments. Currently, revenue is distributed with 30% from APAC, 30% from Latin America, and 20% from the Middle East and Africa, with the remaining 20% from North America and Western Europe. Salandra expressed a cautious approach to growth and aspirations for a future public offering on Nasdaq.

Tech Optimizer

June 14, 2026

Neon vs Supabase 2026: $1B Deal, Scale-to-Zero

Neon and Supabase are two managed PostgreSQL platforms with distinct approaches. Neon adopts a serverless architecture that separates storage and compute, allowing databases to scale to zero when idle and enabling rapid database branching. Supabase, in contrast, provides a comprehensive backend-as-a-service that includes authentication, file storage, real-time subscriptions, and edge functions, all built around PostgreSQL. In 2025, Databricks acquired Neon for approximately billion, motivated by the observation that around 80% of databases created on Neon were generated by AI agents. Post-acquisition, users experienced reduced storage costs and improved pricing structures, although concerns arose regarding Neon's independence. Neon features instant database branching and a scale-to-zero capability, while Supabase offers a fully integrated backend with built-in authentication and storage. Neon operates on a usage-based pricing model, whereas Supabase has a flat-tier pricing structure. Both platforms support the pgvector extension for AI applications, but Supabase is fully open-source and allows for self-hosting, unlike Neon. The developer community recognizes Supabase for its ease of use and rapid application development capabilities, while Neon is praised for its innovative serverless features and cost efficiency. Migration between the two platforms is simplified due to their shared PostgreSQL foundation.

Winsage

June 13, 2026

I tried Microsoft’s new AI-powered Terminal, and it is a surprisingly different experience

Windows 11 has introduced a new command-line tool called "Intelligent Terminal," which is a fork of the open-source Windows Terminal project and integrates an AI agent, specifically GitHub Copilot by default. Users must manually download and install the Intelligent Terminal, which retains the familiar Windows Terminal interface but adds a side panel for AI interaction. Upon first launch, users select an Agent Client Protocol (ACP) compatible agent, with options to enable features like automatic error detection and session management. The Intelligent Terminal offers two main experiences: agent chat and agent management. The agent chat pane allows users to inquire about errors and receive assistance, while the agent management pane tracks active and past agent sessions. Users can also utilize other agents like Claude Code, Google Gemini, and OpenAI Codex, provided they are installed locally. The Command Palette is enhanced with AI actions, allowing users to initiate tasks without interrupting their workflow. Users can customize terminal and agent settings, including pane position and error detection features. Adjustments require saving to apply changes.

Tech Optimizer

June 11, 2026

As the Agentic Era Reshapes the Data Layer, Enterprises Build Their Sovereign Foundation on EDB Postgres® AI

EnterpriseDB (EDB) has reported a significant increase in global adoption of its EDB Postgres® AI (EDB PG AI) platform, indicating a trend among enterprises to standardize operations on a robust platform for managing mission-critical workloads. Research by MIT Technology Review Insights, in collaboration with EDB, shows that AI and data sovereignty are critical predictors of success in AI initiatives, with organizations prioritizing control over their data achieving a fivefold return on investment. The Industrial Bank of Korea (IBK) transitioned 15 core systems to EDB PG AI for greater operational flexibility and cost efficiency, reducing licensing costs compared to Oracle. Shinhan EZ Insurance migrated its entire core system to the public cloud to ensure uninterrupted service. Other enterprises leveraging EDB PG AI include MNTN, Euronext FX, and Kyobo Book Centre, which have benefited from enhanced stability, reduced vendor risk, and improved compliance. EDB is recognized as a leader in the field and will host a global digital event titled "The Era of Agentic AI Data" on June 25. EDB Postgres® AI is positioned as an open, enterprise-grade sovereign data and AI platform, supporting secure, compliant, and scalable solutions across various environments.

Winsage

June 11, 2026

Microsoft is bringing AI features to more Windows 11 PCs — just in case you were under the impression that AI was being cut back

Microsoft is testing a new feature that allows developers to implement local language models on non-Copilot+ PCs running Windows 11. The Language Model APIs can now operate on any Windows 11 device with a compatible Nvidia GPU, specifically targeting GeForce RTX 30 series and newer models with at least 6 GB of video RAM. This initiative aims to democratize access to AI capabilities across a broader range of Windows 11 PCs, although not all PCs will gain access to exclusive Copilot+ AI functionalities.

Winsage

June 11, 2026

Computex 2026: Empowering a billion users with Windows across the ecosystem

Computex has been a significant event for the PC industry, showcasing innovations in hardware, silicon, and user experiences. This year, partners revealed a variety of Windows 11 PCs aimed at diverse user needs. Acer introduced several laptops, including the Aspire X 16 AI for prosumers, the Aspire 18 AI for creative tasks, and the Swift Spin 14 AI, which features both Intel Core Ultra Series 3 and Snapdragon X2 Series processors. ASUS launched its AI PC portfolio with the ProArt P16 and P14 laptops powered by NVIDIA RTX Spark, and the Zenbook 14 for everyday consumers. The ROG Strix SCAR 18 gaming laptop features an Intel Core Ultra 9 processor and NVIDIA GeForce RTX 5090 Laptop GPU. Dell unveiled the XPS 13, which is the thinnest and lightest XPS laptop, offering up to 17 hours of battery life and a 2.5K touchscreen. The XPS 16 Creator Edition is designed for creative tasks with NVIDIA RTX Spark technology. HP plans to integrate RTX Spark into its OmniBook Ultra 16 and OmniBook X 14 laptops and will expand its offerings with a compact desktop for creators and AI enthusiasts. MSI introduced the Prestige N16 Flip AI+, a laptop developed with NVIDIA, featuring a 16-inch UHD+ display and a 2-in-1 design. They also announced the Claw 8 EX AI+, a handheld gaming device powered by Intel Arc G3 Extreme processors. The Surface Laptop Ultra is the most powerful Surface Laptop to date, featuring an NVIDIA RTX Spark superchip and a 15-inch mini-LED touchscreen. Intel introduced the Intel Arc G-Series processors for handheld gaming systems, while NVIDIA unveiled the RTX Spark superchip for personal AI agents on Windows devices. Qualcomm announced the Snapdragon C Platform, aimed at providing efficient performance for students and small businesses, with Acer and ASUS already adopting this technology.