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867 postsGreen Library for Building Idempotent DevOps CLIs
Green is a Clojure-based library for building idempotent DevOps CLIs, defining desired states in EDN.
Ethereum deploys AI agents to discover libp2p vulnerability
The Ethereum Foundation used AI agents to uncover a critical vulnerability in libp2p. This marks a new approach in security auditing.
The Client Said On-Prem, So I Learned Linux Deployments
The client's on-prem request brought different challenges than cloud deployments. Learn about Linux-based deployment processes.
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.comWrong Defense Against Form Spam: Protect the Right Door
Identifying the right strategy to tackle form spam is crucial. Protecting the wrong door won't provide an effective solution.
From Prompt Files to Agent Skills: Rebuilding Content Automation
Three separate Copilot prompt files were merged into one portable agent skill, simplifying content publishing and making it work with any AI agent.
GenUI: Native SwiftUI Interfaces Generated by AI Agents
GenUI validates AI-agent-generated A2UI messages against an allowed catalog and renders them as native SwiftUI interfaces without executing agent code.
How to Stop Duplicate React Mention Emails
A look at why React mention emails get sent twice and how a shared eventId contract between UI, API and worker keeps notifications idempotent.
Hidden Bugs Killing Claude Prompt Caching: The Fix That Cut Costs 80%
Why Claude prompt caching silently fails: timestamps, unsorted JSON, and per-user tool lists breaking the prefix match, plus the fix that cut costs 80%.
Buzzword Driven Architecture: A TDD-Inspired Design Exercise
Inspired by TDD's red-green cycle, this lightweight exercise has teams sketch architecture, score tradeoffs, and catch over-engineering before writing any code.
Error cascades in multi-agent AI systems: the double pendulum problem
Why do small research errors snowball into massive coding failures in multi-agent pipelines? A look at error amplification and the case for human checkpoints.