Knowledge Base

Curated X posts, YouTube videos, repositories and articles on AI, web development and design. Updated every day, summarised by AI and searchable with AI search.

7 entries

Keyword: agentic-workflows
  • X post:rvaniaaa

    Graph Engineering for AI Agents: Replacing Linear Chains with Parallel Workflows

    rvaniaaa contends that the primary bottleneck in multi-agent workflows is geometry rather than model intelligence. Switching from sequential agent chains to graph-based architectures allows parallel execution and substantially reduces overall execution time.

    2.9kbookmarks233.5kviews

    AI & LLMs· Tutorial

  • X post:Gergely Orosz

    Inside OpenAI’s Agentic Software Factory

    In an in-depth report, Gergely Orosz explores internal operations at OpenAI, where Codex and ChatGPT Work have evolved into the operational foundation across technical and non-technical teams. Powered by deep integrations with systems like Slack and Kubernetes, automated feedback loops like 'Perf Factory' are reshaping engineering workflows and organisational structures.

    6.5kbookmarks456.2kviews

    AI & LLMs· News

  • X post:nicco

    Beyond Prompting: Agentic Workflows as Execution Graphs

    Citing a Stanford lecture by Andrew Ng, author nicco highlights why zero-shot prompt engineering is reaching its limits and being replaced by autonomous execution graphs, supported by a guide on moving away from linear agent chains.

    275bookmarks25.1kviews

    AI & LLMs· Opinion

  • X post:Hanako

    Evals vs. Loops: Why Post-Hoc Checks Fail to Fix Agent Workflows

    Hanako breaks down the limitations of conventional evaluations in AI systems, contrasting them with loop and graph architectures. While evals only report failures after execution completes, loops act as gating mechanisms between individual steps to halt compounding errors.

    96bookmarks8.3kviews

    AI & LLMs· Opinion

  • Article:Kuldeep Paul

    Comparison of Five No-Code AI Agent Builders and Evaluation Strategies

    A guide by Maxim AI reviews five prominent no-code platforms for building AI agents and highlights why systematic evaluation is critical before deployment. By exposing HTTP endpoints or webhooks, agents built in n8n, Gumloop, MindStudio, Lindy, and Relevance AI can be tested systematically against quality and reliability metrics.

    AI & LLMs· Resource

  • Repository:disler/super-simple-software-factory

    Super Simple Software Factory: Deterministic Python Workflows for Coding Agents

    Super Simple Software Factory is an open-source framework designed to create repeatable, reliable software development workflows using AI. Deterministic Python controls sequencing, retries, and acceptance criteria, while coding agents operate as bounded nodes inside defined execution phases.

    796starsPython

    From Video: Super Simple Software Factory: Combining Agent Workflows with Deterministic Code

    AI & LLMs· Tool

  • X post:seeco

    Agent Architecture: Claude as an Org Chart and Dynamic Workflows

    Developer seeco outlines an architecture dividing Claude skills into real-world departments such as development, design, finance, and legal. A linked guide details Dynamic Workflows in Claude Code, where the model generates its own JavaScript execution harnesses on the fly.

    1.1kbookmarks117.8kviews

    AI & LLMs· Resource

7 of 7 shown

Suggest Content

Do you have an interesting article, a video, or a tweet that belongs in our knowledge base? Write to us at office@webconsulting.at.

Let's talk about your project

Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

Parts of this content were created with the assistance of AI.