APIs Archives

AppWizard

January 16, 2026

Your Android App Needs Scanning – Best Android App Vulnerability Scanner in 2026

The past year saw a 45% increase in new vulnerabilities targeting Android. By the end of 2024, there are projected to be 2.87 million apps on Google Play, with 66% of American employees using personal smartphones for work. Mobile applications are responsible for 70% of digital interactions, and vulnerabilities in these apps contributed to approximately 40% of data breaches involving personal data in 2023. Effective Android App Vulnerability Scanners analyze app security by identifying insecure local storage, hardcoded credentials, weak cryptography, insecure network configurations, broken authentication flows, and misconfigured components. AI-powered scanners, like AutoSecT, can autonomously generate new scanning protocols quickly, detect zero-day vulnerabilities, automate penetration testing, and operate with near-zero false positives.

Tech Optimizer

January 14, 2026

Introducing PostgREST, a REST API for any PostgreSQL database written in Haskell

PostgREST is a web server developed in Haskell that converts PostgreSQL databases into RESTful APIs, offering a more efficient and standards-compliant alternative to manual CRUD programming. It achieves subsecond response times for up to 2000 requests per second, utilizing the Warp HTTP server and offloading tasks like JSON serialization and data validation to the database. Authentication is managed through JSON Web Tokens (JWT), with authorization based on database-defined roles. PostgREST avoids using Object Relational Mappers (ORMs) and encourages declarative constraints in databases to maintain data integrity. User feedback has been mostly positive, although some have expressed concerns about complexities in production environments.

Winsage

January 14, 2026

Microsoft Adds Copilot AI to Windows 11 File Explorer Amid Privacy Debates

Microsoft is enhancing its artificial intelligence capabilities in Windows 11 by potentially integrating its Copilot AI into File Explorer, as indicated by recent code discoveries in insider preview builds. This integration may introduce a new Copilot button or sidebar, allowing users to engage with AI for contextual queries about files, such as summarizing documents or organizing folders. Concerns have been raised regarding privacy and system performance, as the AI could access local files. The integration may also include chat capabilities, prompting fears of data exposure. Microsoft has assured users that Copilot prioritizes local processing and operates with consent. However, critics worry about the potential for intrusive AI suggestions and the possibility of forced updates. The integration is expected to leverage Microsoft's agentic AI framework and may require advanced hardware for optimal performance. Financial incentives, such as Copilot Pro subscriptions, are also a factor in this strategic push. User feedback will be crucial in determining the success of this integration, with mixed reactions from the tech community regarding privacy and control.

AppWizard

January 9, 2026

Steam Workshop just got version control, hopefully making it less of a headache when game updates break all our mods

A significant update for a popular game has disrupted the ecosystem of mods and saved games. Valve has introduced new version control options for Steam Workshop to help players select compatible mod and game versions more easily. These options include new Steam APIs that allow developers to define past game versions and enable mod authors to specify compatibility with specific game versions. The new features can automatically manage version mismatches, allowing Steam to close the game, switch to the appropriate version, and relaunch it if a player attempts to use an incompatible mod. This requires cooperation from developers and mod authors to implement the necessary configurations.

Tech Optimizer

January 8, 2026

Faster Is Not Always Better: Choosing the Right PostgreSQL Insert Strategy in Python (+Benchmarks)

Inserting 2 million records per second into Postgres is achievable. The analysis explores five methods for inserting data into Postgres using Python, focusing on trade-offs in abstraction, safety, convenience, and performance rather than just speed. High-volume insert workloads are common in scenarios like loading records, syncing data, backfilling analytics tables, and ingesting events. Minor inefficiencies can lead to significant performance impacts. To interact with Postgres, the psycopg3 driver is used alongside SQLAlchemy, which provides two layers: Core and ORM. Psycopg3 is a low-level driver requiring manual SQL management, while SQLAlchemy Core offers a SQL abstraction, and the ORM maps Python classes to database tables, enhancing productivity but introducing overhead. Benchmarking involves measuring only the time spent transferring data from Python to Postgres, ensuring a fair comparison among methods. The fastest method may not always be the best due to maintenance costs, correctness guarantees, and cognitive load. The right insertion strategy depends on the existing data structure rather than just row count. The ORM is suited for CRUD-heavy applications, Core for data ingestion and analytics, and the Driver for maximum throughput in extensive writes. Performance issues can arise from mismatching abstractions, and reverting to a lower level may enhance performance. A guideline for choosing methods is: - Use ORM for applications prioritizing correctness and productivity. - Use Core for data movement or transformation balancing safety and speed. - Use Driver for pushing performance limits with raw power and full responsibility.

AppWizard

January 6, 2026

How Android Apps Are Adapting To The Rise Of Cross-Platform Digital Payments

Android developers are adapting to a rapidly changing global payments landscape, driven by user demand for seamless experiences across platforms, shifting regulatory frameworks, and the rise of cross-border transactions through mobile applications. This evolution is particularly relevant for international sectors like igaming, which often utilize alternative payment methods under offshore licensing. Developers are focusing on streamlined in-app experiences by adopting payment frameworks that enhance security and expedite verification processes. Over the past two years, payment standards have diversified, leading to the implementation of unified payment layers in Android apps to accommodate various tokens, cards, mobile wallets, and region-specific methods. The number of global mobile payment users is projected to reach 5.6 billion by 2025, highlighting the need for cross-platform support. Mobile wallets, NFC, and universal payment APIs are being integrated more deeply into the Android ecosystem, allowing for instant recognition of users' preferred wallets. Streaming platforms are adopting cross-platform billing strategies, while travel apps are implementing flexible frameworks to adapt to regional regulations. In online gaming, there's a focus on diverse payment options to meet international audience expectations. By 2026, Android applications are expected to feature more cohesive payment interfaces, increased biometric verification, and dynamic updates of payment methods based on user location and device capabilities.

Winsage

January 5, 2026

Microsoft Bets on Windows as AI Agent Hub to Revive Dominance

Microsoft Corp. is redefining its Windows operating system as a central hub for artificial intelligence agents, aiming to create an ecosystem where AI can autonomously manage tasks and integrate into user workflows. This strategy, announced in 2025, seeks to attract developers by providing tools like Agent 365 for proactive task management. However, challenges related to privacy, security, and user trust persist, as AI agents require extensive access to personal data. Microsoft is embedding AI agents at the OS level, allowing third-party developers to deploy agents that interact with Windows features. The company’s ecosystem includes Azure AI Foundry and Copilot Studio, which support agent development. Despite having 1.4 billion devices, Microsoft faces competition from Apple and Google, and must navigate privacy concerns and regulatory scrutiny. The success of this initiative depends on developer adoption and user acceptance, with potential risks of job displacement and over-reliance on automation.

Winsage

January 1, 2026

Windows Reborn: Microsoft Moves Copilot into the Kernel, Launching the Era of the AI-Native OS

Microsoft is transitioning its Windows operating system to an "AI-native" platform, embedding AI capabilities directly into the Windows kernel, marking a significant architectural shift not seen in three decades. This new approach, called the "Agentic OS," allows AI to manage files, system settings, and workflows proactively. The updated kernel, partially rewritten in Rust, includes a new NPU-aware scheduler that treats the Neural Processing Unit as a primary resource. Microsoft has introduced "Agent Workspace" and "Agent Accounts" for autonomous agents, ensuring actions are logged and audited for compliance. Communication between agents and the system is facilitated by the Model Context Protocol (MCP). Hardware requirements for the new OS have increased, with benchmarks set for NPUs achieving 80 to 100 TOPS. Major PC manufacturers are adjusting their portfolios to accommodate "Agentic PCs." The competitive landscape is evolving, with companies like Alphabet and Apple developing their own AI-native platforms. The introduction of the AI-native kernel raises privacy and security concerns, with Microsoft implementing measures to restrict third-party access to the kernel. Future updates may include "self-healing" capabilities and "Cross-Device Agency," leading to a more integrated personal AI experience.

AppWizard

December 30, 2025

xAI Hires Android Engineers to Build Mobile Apps for Grok AI Chatbot

Elon Musk's xAI is hiring Android engineers in London, New York, Palo Alto, and San Francisco to enhance mobile experiences for its Grok AI chatbot and the X platform. Candidates should have expertise in Kotlin, Jetpack Compose, and reactive programming. Applications can be submitted by messaging Attila on X or visiting xAI's jobs portal, with a focus on practical experience. The hiring process includes a 15-minute phone interview, two technical rounds involving live coding and hands-on exercises, and a final meeting with the xAI team. The positions offer competitive salaries, equity compensation, and a comprehensive benefits package. Musk aims for xAI to achieve artificial general intelligence (AGI) within two years, with Grok 5 expected in early 2026 having a 10 percent chance of reaching AGI. The roles aim to integrate AI capabilities into mobile devices for widespread use.

AppWizard

December 25, 2025

Steam and Valve’s online games are down

On December 24, around 1 PM ET, Steam users experienced significant disruptions, affecting access to the game store and online gaming. SteamDB's status page indicated that the Steam Store, Steam Community, and Steam Web APIs were offline. By 1:15 PM ET, DownDetector recorded over 6,000 outage reports. Valve's mobile applications were also inaccessible, impacting popular games like Team Fortress 2, Dota 2, and Counterstrike 2. Recovery began around 4 PM ET, and by 6 PM ET, the platform had largely returned to normal, although some services remained sluggish and many online games were still experiencing partial outages or were down. This incident follows a previous significant disruption in October and accessibility issues during the launch of Hollow Knight: Silksong in September.