application development Archives

Winsage

August 6, 2025

Available today: gpt-oss-20B Model on Windows with GPU Acceleration – further pushing the boundaries on the edge

OpenAI has launched its gpt-oss models for Windows devices, featuring GPU-optimized gpt-oss-20B model variants. These models enable local inference for developers, enhancing application development efficiency. The models can be accessed through platforms like Foundry Local and the AI Toolkit for Visual Studio Code (AITK).

AppWizard

August 5, 2025

Gemini Android app beta adds audio file support

The Gemini Android application beta has introduced a feature allowing users to attach audio files, such as MP3s, to chat conversations. This feature, noted in version 16.30.59.sa.arm64 of the Google app beta, includes a “Talk live about this” prompt when a file is attached. However, the audio processing capabilities are still in early development, with inconsistent processing of audio input and occasional irrelevance in responses. The Gemini API supports audio input for tasks like generating descriptions, summarizing spoken information, and transcribing speech, with support for MP3, WAV, and FLAC formats. The integration of audio file attachment is part of a broader development initiative by Google, although no official launch date has been announced.

Tech Optimizer

July 23, 2025

YugabyteDB Extends its Vector Search Functionality and PostgreSQL Compatibility for AI App-Developers

Yugabyte has released a new version of YugabyteDB, which is a distributed PostgreSQL database designed for AI-powered applications. Key features include the YugabyteDB MCP Server for AI experiences, integration support with platforms like LangChain and Google Vertex AI, multi-modal API support for MongoDB, online upgrades without downtime, enhanced PostgreSQL compatibility, and built-in connection pooling. YugabyteDB aims to provide tools for developers building mission-critical AI applications, with a focus on resilience, scalability, and geo-distribution. The new version will be showcased at the Distributed SQL Summit Asia on July 24, 2025.

AppWizard

July 21, 2025

How Free Android VPNs Improve HTTP Security in App Development (2025)

The integration of a free Android VPN is essential for mobile application developers to protect sensitive communications by creating an encrypted tunnel between a user's device and a secure server. VPNs enhance HTTP security by encrypting data, making it unreadable to unauthorized entities. They use various encryption protocols such as OpenVPN, WireGuard, and IKEv2/IPSec to secure HTTP connections. Free Android VPNs are cost-effective for developers, allowing secure testing across regions, maintaining security during remote work, and protecting data integrity in app testing. While some free VPNs may compromise user privacy, reputable providers offer secure options with no-log policies. Five recommended free Android VPNs for developers in 2025 include X-VPN, Proton VPN Free, Windscribe, TunnelBear, and Hideme, each with specific features suited for secure app development. Best practices for using free VPNs include verifying VPN protocols, enabling a kill switch, regularly auditing security settings, and using dedicated VPN profiles for app testing.

AppWizard

July 17, 2025

Java for mobile app development: How to create Android apps in 2025 – London Business News

Java is a key programming language in mobile application development, particularly for Android, and is expected to remain relevant in 2025. It is officially supported in Android development, with a significant portion of Android applications built using Java. Java continues to be integrated into Android Studio and is favored for its comprehensive documentation, backward compatibility, and strong community support. Java's ecosystem is characterized by its mature tools and best practices, making it suitable for both simple and enterprise-level applications. Core components of Android apps built with Java include Activities, Services, Broadcast Receivers, and Content Providers. The development process involves setting up the environment with Android Studio, designing user interfaces with XML, implementing app logic in Java, testing the application, and deploying it via the Google Play Store. Best practices in 2025 include modular architecture, dependency management with libraries like Dagger and Hilt, asynchronous programming techniques, and the use of version control systems like Git. Java remains a viable option alongside Kotlin, especially for legacy codebases and its perceived accessibility for new programmers. Modern tools supporting Java development include Room for data storage, Retrofit for API calls, Glide for image loading, Firebase for cloud services, and Crashlytics for crash monitoring. Outsourcing Java development is a common strategy for companies looking to scale their mobile projects efficiently. Java continues to evolve, accommodating advancements in machine learning, IoT, and edge computing.

Tech Optimizer

July 5, 2025

Critical PHP Vulnerabilities Expose Systems to SQL Injection & DoS Attacks

A security vulnerability identified as CVE-2025-1735 in the PHP pgsql extension has been disclosed, classified with moderate severity. It arises from inadequate error checking during input data escaping, specifically the failure to pass error parameters to the PQescapeStringConn() function and not verifying NULL values from PQescapeIdentifier(). This flaw affects PHP versions prior to 8.1.33, 8.2.29, 8.3.23, and 8.4.10, allowing potential SQL injection attacks and application crashes due to null pointer dereferences. The vulnerability is linked to a recent PostgreSQL vulnerability (CVE-2025-1094) related to invalid multibyte character handling. Developers are urged to upgrade to patched releases to mitigate risks.

Tech Optimizer

June 17, 2025

EnterpriseDB targets AI development with latest update

EnterpriseDB has introduced new features for its EDB Postgres AI platform, including a low-code/no-code environment for application development and enhanced data observability across various databases. The platform, launched in May 2024, integrates relational and non-relational data, automates data pipelines, and supports multiple workloads. The new capabilities aim to improve the success rate of AI projects, which face an estimated 80% failure rate in transitioning from development to production. The updates include tools for managing PostgreSQL databases in hybrid cloud and on-premises environments, Transparent Data Encryption for security, and an analytics engine optimized for AI workloads. EnterpriseDB's enhancements were influenced by customer feedback, focusing on maximizing the value of existing data and supporting GenAI workflows. The company plans to expand its AI ecosystem and enhance its competitive position within the PostgreSQL community.

Tech Optimizer

June 16, 2025

Databricks rolls out Lakebase Postgres and Agent Bricks for AI-era apps

Databricks has introduced the Lakebase Postgres database layer to enhance its lakehouse architecture, facilitating AI applications and analytics on operational data. The company also launched Agent Bricks to simplify the development of automated AI agents. During the Data + AI Summit, CEO Ali Ghodsi emphasized the importance of transitioning from outdated systems to modern solutions for AI. Lakebase, powered by Neon technology, is a fully managed, Postgres-compatible database that supports data loading from over 300 sources. Databricks aims to unify operational and analytical systems for real-time decision-making. The summit outlined a three-chapter framework: establishing the lakehouse, integrating AI, and introducing Lakebase. Agent Bricks enables business users to create AI agents without extensive technical knowledge, while Managed Iceberg Tables support external engines and promise performance optimizations. Databricks announced partnerships with Microsoft and Google Cloud for deeper integration and AI model usage. The company is investing 0 million in AI education and plans to release Lakeflow Designer for no-code ETL capabilities. Databricks anticipates reaching .7 billion in annualized revenue by July, with a growth rate of 50 percent and plans to hire 3,000 employees in 2025. Lakebase is currently in Public Preview.

Tech Optimizer

June 12, 2025

‘Postgres Has Won’

Databricks has launched Lakebase, a fully managed Postgres database, during the Data + AI Summit 2025. Lakebase is currently in public preview and integrates with Databricks' Data Intelligence Platform, targeting AI-driven application development. It introduces an operational layer to the lakehouse ecosystem, allowing developers to build AI applications on a multi-cloud platform. The database architecture, powered by Neon, separates compute from storage for independent scaling, ensuring low latency and high concurrency. Lakebase supports rapid deployment and a usage-based pricing model, and features include copy-on-write clones for development and testing. Databricks aims to create a new category in the database market with Lakebase, which is built on open-source Postgres and compatible with existing tools. The operational database market is valued at over 0 billion, and recent surveys indicate PostgreSQL's rising popularity among developers. The launch follows Snowflake's acquisition of Crunchy Data to enhance its Postgres offerings, indicating a trend towards PostgreSQL in the industry.

Tech Optimizer

June 12, 2025

Databricks launches Lakebase Postgres database for AI era

Databricks has launched Lakebase, a fully managed Postgres database designed for AI applications, currently in Public Preview. It integrates an operational database layer into Databricks' Data Intelligence Platform, facilitating the development of data applications and AI agents in a multi-cloud environment. Lakebase uses Neon technology within a lakehouse architecture, allowing for efficient real-time data processing and scalable operations. Key features include independent scaling of compute and storage, low latency under 10 milliseconds, high concurrency over 10,000 queries per second, rapid launch times under a second, and a consumption-based payment model. It also offers data synchronization with lakehouse tables, an online feature store for machine learning, and is managed entirely by Databricks with built-in security features. During its Private Preview, Lakebase attracted participation from hundreds of enterprises across various sectors. It is supported by a partner network including Accenture, Deloitte, and others, and will receive further enhancements in the coming months.