OpenCode v1.18.22: What Coding Agents Changed and How to Use It Safely
OpenCode v1.18.22 updates Bedrock compatibility and removes outdated pricing messaging. Learn a safer rollout plan with CI gates and clean logs.
OpenCode v1.18.22 updates Bedrock compatibility and removes outdated pricing messaging. Learn a safer rollout plan with CI gates and clean logs.
AI grounding feedback functions score groundedness and relevance at runtime. Learn how to wire scoring into agent actions and avoid ungrounded answers.
Outbound webhooks for AI agents let your system receive signed lifecycle events like session activity and tool completions. Learn how to verify HMAC signatures and build a reliable timeline.
Classifier-based safety gates can cut interruptions by only stopping for high-risk actions. Learn how auto-continue agents change workflows and what to test.
Recent data claims the Claude Code Auto Mode classifier caught 89% of dangerous commands. See what this means for safer agent workflows and tool use.
Agentic self-healing workflows help AI agents recover from failures safely. Learn practical steps to validate tool calls and handle chat edge cases.
Self-healing OpenCrabs agents make automation more reliable by fixing phantom intent detection, improving tool-call parsing, and handling Telegram message timing. This article breaks down what changed and how to apply the same ideas to your own agent runs.
Agentic harness engineering discipline is about building a harness that tests agents like real software. This guide shows what to simulate, what to validate, and what to enforce.
The OpenClaw release bot mindset makes AI releases safer with clear steps, required checks, and solid handling of messy inputs. Start with gates and test it like a system.
Agentic frameworks and swarm architectures help multiple AI agents coordinate by roles, with checks and stop rules. Learn patterns and a simple swarm template to build reliable workflows.