NewApp Digest
search bot

Connectors

Comma Compliance Open-Sources the Android App That Archives Employee Text Messages
AppWizard
September 10, 2026

Comma Compliance Open-Sources the Android App That Archives Employee Text Messages

Comma Compliance released the source code for its Android capture component on September 10, 2026, allowing corporate IT and security teams to inspect the software that captures employee text messages for compliance archiving. The source code is available on GitHub under the MIT license. The capture mechanism reads messages stored in the phone's default messaging app, encrypts them, and sends them to the customer's Comma backend without intercepting messages in transit. A persistent notification appears on the phone when archiving is active, indicating the organization responsible for the archiving. Comma previously open-sourced its WhatsApp and Signal capture connectors in 2025.
Gemini could take a leaf out of ChatGPT's book for this design update
AppWizard
September 4, 2026

Gemini could take a leaf out of ChatGPT’s book for this design update

The Google Gemini app is testing a new camera interface in version 17.55.8, which will allow the viewfinder to occupy half of the screen while keeping chat contents visible. This design is inspired by the ChatGPT mobile app and includes a floating viewfinder, a handle for expanding or minimizing the viewfinder, and a redesigned camera shutter key. The camera switcher will be relocated to the three-dot menu. Additionally, the '@' menu is being revamped to potentially hide disabled apps and may be renamed "Connectors," featuring a wider layout and an option to "Connect apps." The Avatars section will allow users to showcase existing avatars and add new ones. These updates are currently in testing and may not be rolled out to the public.
Migrate Amazon Aurora PostgreSQL across major versions with active Debezium CDC connectors using native logical replication
Tech Optimizer
August 18, 2026

Migrate Amazon Aurora PostgreSQL across major versions with active Debezium CDC connectors using native logical replication

Organizations using Debezium Change Data Capture (CDC) connectors on Amazon Aurora PostgreSQL-Compatible Edition face challenges during major database version upgrades. In-place upgrades require downtime, while blue/green deployments disrupt CDC event pipelines. A method using PostgreSQL's native logical replication allows migration between a source cluster (current version) and a target cluster (new major version) without a full connector re-snapshot. This approach minimizes risks of data loss and allows existing Debezium connectors to operate on the source during synchronization. The cutover process involves disabling the replication subscription, synchronizing sequences, creating a new Debezium replication slot on the target, and redirecting the connector, resulting in a brief pause for Kafka consumers. Prerequisites for this method include enabling logical replication on the source cluster, ensuring the target cluster is provisioned in the same VPC, and confirming that tables participating in CDC have primary keys. The process involves configuring parameter groups, creating publications, and establishing subscriptions for logical replication. During cutover, application writes are halted, and replication lag must be monitored to ensure it reaches zero before proceeding. After the cutover, ongoing monitoring of replication health and Kafka consumer offsets is necessary. Common failure scenarios include Aurora writer failover, Debezium connector stalls, large messages exceeding Kafka limits, DDL changes during synchronization, and long-running transactions blocking lag drain. Each scenario has specific symptoms, detection methods, and resolutions. Post-migration, organizations should establish monitoring for replication lag growth and Kafka consumer offset divergence. Automation can streamline the migration process for organizations managing multiple clusters, utilizing AWS Cloud Development Kit (CDK) constructs for cluster provisioning, schema replication, and cutover orchestration. After verifying stable operation on the target cluster, the old Debezium connector and source cluster can be decommissioned. Limitations include the absence of failover slots on Aurora PostgreSQL 17 and the need to handle TOAST columns appropriately.
Announcing Lakebase Search: agent-native retrieval built into Lakebase Postgres
Tech Optimizer
June 18, 2026

Announcing Lakebase Search: agent-native retrieval built into Lakebase Postgres

Lakebase Search is a hybrid vector and full-text retrieval system integrated into Lakebase, now in beta on AWS and Azure. It utilizes two Postgres extensions: lakebase_vector and lakebase_text, allowing agents to operate on a single data backend. Agents manage four times more databases than human users and require real-time access to indexed data. The system features a tiered architecture that stores cold data in cost-effective object storage while keeping active data in local NVMe, significantly reducing costs. The lakebase_vector extension offers 32x compression for vectors, allowing a billion vectors to fit into under 10GB of RAM. The lakebase_text extension provides BM25 relevance ranking without high RAM usage. Benchmarking shows that Lakebase Search can efficiently handle large-scale workloads, achieving high recall and low latency with reduced resource requirements compared to traditional architectures. The system allows for continuous search experimentation and dedicated retrieval engines for each agent, enhancing operational efficiency and scalability.
Обзор корпуса Fractal Design Torrent Compact
TrendTechie
May 3, 2026

Обзор корпуса Fractal Design Torrent Compact

Fractal Design has launched the Torrent series of cases, including the Torrent Compact, designed for maximum efficiency and airflow. The Torrent Compact supports various motherboard sizes (E-ATX, ATX, mATX, Mini-ITX) and features a top-mounted power supply, seven expansion slots, and multiple fan and radiator mounting options. It includes two 180 mm Dynamic X2 fans, capable of moving 153 CFM of air, and has a net weight of 7.7 kg with dimensions of 450 x 222 x 467 mm. The case offers three 2.5" drive bays and one 3.5" drive bay, along with front panel ports including USB 3.1 Gen 2 Type-C and USB 3.0. The design emphasizes unobstructed airflow and includes a removable dust filter. The case is equipped with a PWM-controlled hub for up to nine fans and features a dedicated mounting hole for custom cooling loops. The assembly process is standard, though the top-mounted power supply and limited cable management space may pose challenges. The case's performance was tested with high-end components, demonstrating effective cooling capabilities, although the fans can produce noticeable noise at maximum speeds.
Claude Cowork and Claude Code Can Now Control Your Windows Desktop
Winsage
April 5, 2026

Claude Cowork and Claude Code Can Now Control Your Windows Desktop

On April 3, 2026, Anthropic expanded Claude’s desktop control feature to Windows for Pro and Max subscribers, allowing users to operate applications, navigate web pages, and manage files on their PCs without prior configuration. The feature is in research preview and includes a Dispatch companion for task assignment from mobile devices. Claude uses a structured tool hierarchy for task execution, prioritizing connectors like Slack and Google Calendar, and engages in direct desktop control only when necessary. Users must opt in to activate the feature, which integrates with existing software without requiring API keys. The technology is partly derived from Anthropic’s acquisition of Vercept AI, which specializes in AI-driven computer control. Security concerns have arisen due to vulnerabilities demonstrated shortly after the launch, prompting Anthropic to implement safeguards while acknowledging the feature's potential errors. Users can stop Claude's operations, but the company admits it cannot disable the technology remotely once tasks have started. Competitors like Microsoft and Google are also exploring similar desktop-level AI automation capabilities.
Moving AI apps from prototype to production requires enterprise-grade postgres infrastructure
Tech Optimizer
March 11, 2026

Moving AI apps from prototype to production requires enterprise-grade postgres infrastructure

By 2024, 78% of organizations are expected to utilize AI, a significant increase from previous years. However, 90% of technology leaders struggle to measure the return on investment from AI initiatives. Traditional databases are inadequate for AI applications due to limitations in features like vector similarity search and semantic retrieval. Many organizations face challenges in integrating AI applications with existing databases, particularly when migrating legacy systems to the cloud. Security and compliance are critical for AI applications in regulated industries, requiring audit trails, data encryption, and adherence to standards like HIPAA and GDPR. The absence of dedicated vendors for transitioning AI from prototyping to production is notable, with no Postgres vendor focusing solely on AI integration until recently. Anthropic's open-source Model Context Protocol (MCP) has emerged as a standard for connecting AI agents to data sources, easing integration challenges. The underlying database architecture is crucial for supporting enterprise-grade AI applications, with Postgres being a common choice. The pgEdge Agentic AI Toolkit for Postgres provides a solution for building production-ready AI applications while ensuring availability, security, and compliance.
Search