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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
If you're handling them like a service account or API token, consider yourself behind. AI agents need a fundamentally different approach.
Judge reluctantly approves $1.5M settlement with SEC over Twitter stock violation.
Production Weaviate in minutes, managed by DigitalOcean. Starting at $20/month. Vector databases have become a core piece of the AI application stack. Whether you’re building retrieval-augmented generation (RAG), semantic search, agentic workflows and memory, or similarity-based recommendations, you need a vector store that’s reliable, fast, and doesn’t require a dedicated ops engineer to keep running. Weaviate has become a critical part of that stack — its open-source AI-native vector database
Disaster recovery is often discussed as if it were mainly a technical discipline. Build the standby environment, configure replication, document failover, test the process, and the job is largely done. If the primary system fails, the recovery target takes over. The topic is framed as one of topology, tooling, replication, and automation. All of those things matter. None of them answers the hardest operational question: when should recovery actually be invoked?
OpenAI may be sanctioned for hiding, deleting ChatGPT logs in NYT copyright fight.
Datadog Security Labs is warning of "several overlapping campaigns" that are systematically enumerating corporate GitHub organizations, repositories, and user accounts through the GitHub API. "Operators rely on automated scraping tooling with custom or legitimate-sounding user agents, leveraging GitHub 'ghost' accounts that are often years old, or compromised OAuth tokens and personal
Claude subscribers must soon pay usage-based fees to access Anthropic’s best consumer AI model—a sign that the golden era of AI subscriptions is ending.
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