Insights
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.
Picture a support agent that's authorized to read customer tickets, summarize them, and draft replies. A user asks it to "pull up everything related to account 4471's billing dispute." The agent authenticates fine, queries the vector store, and return...
Cloudflare's Terraform v5 Provider makes it easy for developers to manage their Cloudflare infrastructure using a configuration as code approach. It releases every 2-3 weeks to ensure that you can always manage the latest features in the platform. This week, we launched Terraform v5.20.0, which adds 24 new resources, bumps the underlying Go SDK to cloudflare-go v7, and includes a range of bug fixes and state upgraders based on community feedback. New resources cloudflare_ai_search_namespace: Man
If you've shipped an AI agent that connects to tools, you've probably felt the relief of having one standard way to wire it all up. Model Context Protocol (MCP) handles that part well. But there's a gap that catches a lot of teams off guard: your agen...
Preply uses OpenAI to launch AI-generated lesson summaries, providing personalised feedback and language learning exercises.
AI Gateway logs now capture the user agent of the client that made each request, making it easier to identify which SDK, library, or application sent the traffic flowing through your gateway. For example, you can tell apart requests coming from openai-python versus a custom application or a Cloudflare Worker. The user agent appears alongside the other details in each log entry, and you can filter logs by user agent (equals, does not equal, or contains) in the dashboard. For more information, ref
You can now filter the Metrics tab for a Durable Objects namespace by an individual Durable Object's ID or name in the Cloudflare dashboard. Previously, metrics charts only showed aggregate, namespace-level data, making it difficult to isolate the behavior of a specific object. Go to Durable Objects Start typing an ID or name into the filter and select a match from the autocomplete dropdown. Every chart on the page updates to reflect only the selected object. This makes it easier to identify
@cf/moonshotai/kimi-k2.7-code is now available on Workers AI. Kimi K2.7 Code is a code-optimized variant of the Kimi K2 family, built on a Mixture-of-Experts architecture with 1T total parameters and 32B active per token. Improved coding and agent performance K2.7 Code delivers meaningful gains over K2.6 on coding and agentic benchmarks: +21.8% on Kimi Code Bench v2 +11.0% on Program Bench +31.5% on MLS Bench Lite Reasoning efficiency K2.7 Code uses 30% fewer reasoning tokens compared to K2.6, r
Work with 360Softy
Book a free consultation and we will tell you honestly whether we can help.
