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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.
Count the systems behind your AI agent. A vector database for embeddings. A separate cache for LLM responses. A memory service for conversation state. A pipeline syncing data from Postgres. Probably a queue. Maybe a feature store. Now count the things...
Autonomous AI agents are becoming more capable. Open models, Model Context Protocol (MCP)-connected tools, and portable skills are also making agents easier to... Autonomous AI agents are becoming more capable. Open models, Model Context Protocol (MCP)-connected tools, and portable skills are also making agents easier to extend. But scaling agent use with structural transparency and operational integrity requires more than runtime guardrails. Organizations and teams need to understand and trust
Customers running IBM Db2 workloads often ask for a repeatable, auditable way to provision Amazon RDS for Db2 that fits their existing infrastructure-as-code practice. In this post, we introduce a modular Terraform template, published in the aws-samples/sample-rds-db2-tools repository. The template takes you from an empty AWS account to a running RDS for Db2 instance tracked in AWS License Manager in under an hour.
Article URL: https://github.com/wiltodelta/remove-ai-watermarks Comments URL: https://news.ycombinator.com/item?id=48200569 Points: 378 # Comments: 249
Copilot code review’s previous Implement suggestion button has now been renamed to Fix with Copilot and updated to support a UI dialog for more control over how suggestions are applied.… The post Easily apply Copilot code review feedback with Copilot cloud agent appeared first on The GitHub Blog.
A max-severity vulnerability in the latest Python FastAPI version of the ChromaDB project allows unauthenticated attackers to run arbitrary code on exposed servers. [...]
A brief overview of the forces at play that will get more organizations on board with creating and consuming AI bill of materials (BOMs).
On June 23, 2026, Dependabot will no longer support Python version 3.9, which has reached its end-of-life. If you continue to use Python 3.9, there’s a risk that Dependabot will… The post Upcoming deprecation of Python 3.9 for Dependabot appeared first on The GitHub Blog.
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