GitHub Reviews

1. proka

   11 days ago
   The Essential Platform for Modern Development

   GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team collaboration. Its large open-source community is another major strength, offering developers access to countless projects, resources, and opportunities to learn. Overall, GitHub is a reliable and professional platform that has become a fundamental part of the developer ecosystem.

2. Reinhard

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

Langfuse Reviews

GitHub mentions (2480)

• Using Multiple GitHub Accounts: Automatically Select the Correct `gh` PAT Based on Repo Owner

  [credential] useHttpPath = true [credential "https://github.com/"] helper = helper = "!f() { \ [ \"$1\" = get ] || exit 0; \ account=''; \ while IFS='=' read -r k v; do \ [ \"$k\" = path ] && account=${v%%/*}; \ done; \ [ -n \"$account\" ] || exit 0; \ token=$(gh auth token --user \"$account\") || exit 0; \ printf... - Source: dev.to / 1 day ago

• Understanding The Git Workflow: Working Directory, Staging, Commit and Push

  This has now created our repository. This repository contains a link which we can share to other users, and this is the link that we need to link our local folder with the newly created repository. To do this, simply access it once you scroll down in the page you are in the simply copy the http link. This is what we shall use. The link usually looks like this http://github.com//. - Source: dev.to / 4 days ago

• Understanding the Git Workflow: Working Directory, Staging, Commit and Push.

  GitHub is an online service where we can store Git repositories. While Git is installed and works locally on our personal computers, GitHub stores our repositories online and allows us to share and collaborate on projects. - Source: dev.to / 5 days ago

• How I built a DSL for infrastructure in 10 days with AI

  What I'd do differently Start with PyPI from day 1. I spent the first week telling people to pip install git+https://github.com/.... The friction was enormous. Once I published to PyPI, installation became pip install infra-lang — 5 seconds instead of a paragraph of instructions. - Source: dev.to / 8 days ago

• Como criei um agente de IA para selecionar testes automaticamente em PRs (Parte 1)

  """Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / 16 days ago

Langfuse mentions (30)

• The Observability Crisis: Why OTel Alone Fails for AI and How to Build a Resilient Pipeline

  Langfuse is not a replacement for OpenTelemetry; it is a specialization layer built on top of it. Langfuse was engineered specifically for the unique telemetry needs of LLM applications. It acts as the semantic layer that OTel lacks. - Source: dev.to / 6 days ago

• Your AI Agent Works in Dev. It Will Fail in Production. Here's the Math.

  Langfuse and LangSmith exist for this. Use them. The 30 minutes you spend setting up observability saves you the 87 hours you'd spend debugging blind. - Source: dev.to / 18 days ago

• Strands Agents + Langfuse Evaluations

  In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse — step by step. - Source: dev.to / about 2 months ago

• Best AI Monitoring Tools in 2026: LLM, Agent, and MCP Observability Compared

  Langfuse is the open-source standard for LLM observability. It traces every LLM interaction — prompts, completions, latency, token usage, cost — and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / 2 months ago

• What is an LLM evaluation harness? A deep dive into lm-eval-harness

  You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / 3 months ago