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devops
185 postsBirgitta Boeckeler on Harness Engineering for AI Agents
Birgitta Boeckeler explores harness engineering for AI agents and its practical applications.
Building a Tool to Classify CI Failures: Key Insights Learned
I developed a tool to classify CI failures, aiming to save engineers time and improve workflow.
AI Society Developed to Debate Outages is Three Times More Reliable
A multi-agent system using Qwen shows three times the reliability of a single agent in incident response.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comFinding a Production Bug with a Demo Script
A demo script found a production bug in an MCP server. Passing tests hid the issue.
Coding agents can write your integration. They can't run it.
Digibee discusses the limitations of coding agents in integrations and suggests solutions for enterprise applications.
Reducing Docker Image Size from 1.2GB to 85MB with Multi-Stage Builds
Learn how to reduce Docker image size from 1.2GB to 85MB using multi-stage builds.
Anway: A Central Nervous System for DevOps Tools
Anway integrates DevOps tools into a single platform, streamlining software lifecycle management.
When the Agent Is Wrong: Surface Real Kubernetes Errors, Not Model Guesses
Learn how to ensure AI agents accurately report Kubernetes errors instead of making guesses.
One Go Codebase, Two Deployment Modes: Monolith to Microservices
Go-SimpleScale enables deployment as both a monolith and microservices from a single codebase, offering flexibility and security.
AWS Cost Explorer Shows Total Costs, Not Who's Burning Resources
AWS Cost Explorer shows total costs but lacks visibility into resource ownership and usage.