Appfigures vs Guardsquare

Introducing Appfigures MCP

Appfigures data now works inside your favorite agent, including ChatGPT, Claude, Manus, Grok, and other without the need to install a CLI or use a terminal. The new Appfigures MCP makes your agent app-smart.

Meta launches AI-focused subscription plans

Meta has launched Meta One, a unified subscription service bundling premium features across Instagram, Facebook, WhatsApp, and Meta AI, now globally available. Core functions remain free, while the subscription offers extended AI usage, enhanced self-expression tools, and professional solutions for creators and businesses, gradually rolling out to apps like Edits and AI glasses. Over 15 million subscriptions and trials have been recorded. Pricing starts at $2.99/€2.49 per month for individual app-plus plans, with bundled Core and Premium tiers at $7.99 and $19.99 (€6.99 and €16.99) monthly, and business plans ranging from $14.99 to $499 (up to €549) per month. This initiative aligns with Meta's AI monetization strategy, following a $14.3 billion investment in Scale AI and planned infrastructure spending exceeding $600 billion by 2028. Early revenue data shows Instagram at $1.2 million daily and Facebook at $528,000 as of September 9, 2026, though the launch faces regulatory scrutiny and industry warnings about AI risks.

• Meta One is a unified subscription service for Instagram, Facebook, WhatsApp, and Meta AI, globally available, launched on September 16, 2026.
• Over 15 million subscriptions and trial activations have been recorded from earlier tests.
• Pricing starts at $2.99/€2.49 per month for individual app-plus plans; bundled Core and Premium cost $7.99/€6.99 and $19.99/€16.99 respectively.

Introducing Appfigures Leaderboards

Appfigures Leaderboards is a new way to rank mobile apps and games by clear metrics like downloads, revenue, and store visibility, unified across App Store and Google Play.

Safeguarding LLM-Assisted Dev at Guardsquare

New blog post discussing Guardsquare's approach to using large language models (LLMs) in development, highlighting security considerations for a cybersecurity company handling sensitive IP.

Use P2C + EWMA for High-Throughput Java Routing

A technical article demonstrating that traditional round-robin load balancing performs poorly for high-concurrency Java virtual thread workloads. The author recommends using the Power-of-Two-Choices (P2C) sampling algorithm combined with an Exponentially Weighted Moving Average (EWMA) latency metric to compute a real-time health score per instance: Score = (Active Virtual Threads + 1) × EWMA Latency. The post includes a Java code snippet implementing a P2C selector and argues this approach reduces p99/p999 tail latency and avoids synchronization costs inherent to full-node scans or naive least-connections strategies.

• Java virtual threads allow microservices to handle ~50,000 concurrent requests per instance (as asserted by the author).
• Legacy round-robin load balancers can degrade p99 latency when servicing virtual-thread workloads due to head-of-line blocking.
• The recommended routing policy is Power-of-Two-Choices (P2C) sampling of two instances plus a health score computed as (Active Virtual Threads + 1) × EWMA Latency.

Community Poll: Do You Test AI Agents for Prompt Injection?

A Dev.to community post by Brij Purswani (published 2026-07-07) asks developers whether they test AI agents for prompt injection and adversarial inputs. The author, who builds security tools for AI agents, reports having spoken with roughly 200 developers and says most admitted they do not test for adversarial prompts. The post lists poll options (A: I test, B: I know I should, C: I didn't know, D: Not sensitive) and links to a quick scan tool (sec-ra.com) for testing agents. The piece is a discussion prompt rather than a technical guide or policy announcement.

• Author Brij Purswani published the post on Dev.to on 2026-07-07.
• The post asks whether developers test AI agents for adversarial inputs such as prompt injection, system prompt extraction, or unauthorized tool/data access.
• The author says he has talked to about 200 developers and that most answered 'no' to testing for adversarial inputs.