GitHub Reviews

1. Reinhard

   · Boss at CLOUD Meister · over 5 years ago
   perfect 4 open Source

Kiro Reviews

GitHub mentions (2474)

• I audited a 5.5 GB AI training dataset by downloading 0.8% of it

  Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 1 day ago

• Superlogical – Mitchell Hashimoto

  Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:

          Host *.

  - Source: Hacker News / 9 days ago

• Your Agent's Confidence Score Is Not a Probability

  All of this assumes you can actually inspect what the agent did — the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 10 days ago

• Foreman 101: agentic coding as Kubernetes resources

  # git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 10 days ago

• Stop Judging Every Run: Eval Sampling Is a Budget Decision, Not a Coverage One

  This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output — the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 20 days ago

Kiro mentions (89)

• I deleted my source code and regenerated it in a different language

  2025 was the year the industry moved to specifications. GitHub Spec Kit brought structure to agent workflows. Amazon Kiro built an IDE around requirements, design, and tasks. Tessl made the strongest commercial case that specs are durable and code is disposable. Sean Grove of OpenAI put it memorably in The New Code: code is a lossy projection of the specification. - Source: dev.to / 8 days ago

• Nuxt vs SvelteKit: What works better?

  BTW, I used Kiro for all my research for this post and video! Check it out , it's an amazing harness! - Source: dev.to / 17 days ago

• Trusting Kiro for Agentic Development

  While all the attention is collected over OpenAI Codes, Claude Code and Cursor, Kiro has its own circle with its own capabilities and potential. It's a tool officially built by AWS, and kiro.dev is the site to learn all about it. - Source: dev.to / 21 days ago

• TanStack Start vs Nuxt: One Framework to rule them all?

  One last note. I did all the research for the video and this post in Kiro, an agent that works on the IDE, CLI and Web. - Source: dev.to / about 1 month ago

• Nano Banana 2 Lite with Kiro

  ⢀⣴⣶⣶⣦⡀⠀⠀⠀⠀⢀⣴⣶⣦⣄⡀ ⢀⣴⣶⣶⣦⡀ ⢀⣴⣶⣶⣶⣶⣶⣶⣶⣶⣶⣦⣄⡀ ⢀⣠⣴⣶⣶⣶⣶⣶⣦⣄⡀ ⢰⣿⠋⠁⠈⠙⣿⡆⠀⢀⣾⡿⠁ ⠈⢻⡆ ⢰⣿⠋⠁⠈⠙⣿⡆ ⢰⣿⠋⠁ ⠈⠙⠻⣦ ⣴⡿⠟⠋⠁ ⠈⠙⠻⢿⣦ ⢸⣿⠀⠀⠀⠀⣿⣇⣴⡿⠋⠀⠀ ⢀⣼⠇ ⢸⣿⠀⠀⠀⠀⣿⡇ ⢸⣿⠀⠀⠀⢠⣤⣤⣤⣤⣄ ⣿⡆ ⣼⡟⠀⠀⠀ ⣀⣀⣀ ⢻⣧ ⢸⣿⠀⠀⠀⠀⣿⡿⠋⠀⠀ ⢀⣾⡿⠁ ⢸⣿⠀⠀⠀⠀⣿⡇ ⢸⣿⠀⠀⠀⢸⣿⠉⠉⠉⣿⡇ ⣿⡇ ⣼⡟⠀⠀ ⣰⡿⠟⠛⠻⢿⣆⠀⠀ ⢻⣧ ⢸⣿⠀⠀⠀⠀⠙⠁⠀⠀ ⢀⣼⡟⠁ ⢸⣿⠀⠀⠀⠀⣿⡇ ⢸⣿⠀⠀⠀⢸⣿⣶⣶⡶⠋⠀ ⣿⠇ ⢰⣿⠀⠀⠀⢰⣿⠀⠀⠀ ⣿⡆⠀⠀ ⣿⡆ ... - Source: dev.to / about 1 month ago