Small open-weight models as coding sub-agents: reading the Mellum2.1 release
JetBrains released Mellum2.1, a 12B open-weight model built for coding sub-agents. What it claims, what to verify, and where small models fit.
News, how-tos and researched articles on AI coding tools, agents, MCP, cost and governance, from the SpanDock team.
JetBrains released Mellum2.1, a 12B open-weight model built for coding sub-agents. What it claims, what to verify, and where small models fit.
Connect a SpanDock server's notifications to your spandock.com dashboard, choose which kinds to see, and send a test. In every plan.
3 min read
Cached input costs a tenth of the normal price on major APIs. How prompt caching works, why coding agents depend on it, and how to see whether yours hits.
4 min read
Claude Code, Codex and Copilot now emit OpenTelemetry. What the GenAI conventions cover, what the tools actually send, and how to start measuring.
Advisories from Splunk, AWS, Google and the Rust MCP SDK share one pattern: a tool builds a request or command from input it shouldn't trust.
Add two or three SpanDock guardrails for secrets, personal data and your own patterns, enforce them on every computer, and check that they work.
Flowise, Langflow and PraisonAI fixed flaws where prompt injection led to code execution. The shared mistake, and what to check in your own agents.
4 min read
Give every computer's AI tools one governed MCP server: add two or three connectors read-only, set permissions and approvals, and check it works.
5 min read
MCP 2026-07-28 drops sessions, adds routing headers, hardens authorisation and deprecates features. What platform and security teams need to plan for.
5 min read
The three SpanDock roles explained, then a first install: choose the mode, activate the server, configure a tool and pair your team's computers.
5 min read