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The Self-Driving Company, Cloud Agents & ViBench 2.0 | This Week in Replit (Oct 30, 2026)
Replit · 2026, Replit, Cloud Agents, ViBench 2.0
AI directory search
Search across educators, skills, and resources.
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
98 matches for "ci"
Video matches
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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How to Build an AI Code Review Agent - Daksh Gupta, Greptile
AI Engineer · 2026, code review agents, software engineering, evals
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Scaling Inference-Time Compute with Teams of Agents for Software Engineering
Open Data Science and AI Conference · 2026, multi-agent systems, software engineering, inference-time compute
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OpenAI's GPT-6.1 Terra uses your computer for less
Coding with Sela · 2026, GPT-6.1 Terra, computer use, model selection
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Inside Arca's Long-Horizon Agents That Run the Business - Aman Singh, Arca
AI Engineer · 2026, long-horizon agents, persistent memory, signals
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Don't Trust Your AI Agents. Test Them Like a Scientist — Stephanie Jarmak, Omni Analytics
AI Engineer · 2026, agent evaluation, experimental design, benchmarks
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Why AI Startups Will Disappear Without Compute Markets — Evan Conrad, San Francisco Compute
AI Engineer · 2026, GPU compute, AI infrastructure, capacity planning
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Better AI Models Won't Fix Your Engineering Team — Nicholas Arcolano, Jellyfish
AI Engineer · 2026, AI coding, developer productivity, engineering teams
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1,368 AI Failures and What They Teach About Evals — Vishal Srivastava & Tanmay Sah, New York Life
AI Engineer · 2026, AI incidents, risk, agent evaluation
Educators
Josh Pigford
Initial Commit · Beginner to intermediate
Practical AI use for small businesses, product decisions, and repeatable operations.
Skills
Founder workflows, Product ops, Automation
Andrew Ng
DeepLearning.AI Short Courses · Beginner to advanced
Structured, practical courses from prompt engineering through agentic workflows.
Skills
Prompting, Agents, RAG, ML foundations
Rachel Thomas
fast.ai · Beginner to intermediate
Good practical teaching on making ML more understandable and useful.
Skills
Practical ML, Ethics, Education
Cohere For AI
Cohere For AI · Advanced
Useful for people who want research context and open science around language models.
Skills
NLP research, Open models, Multilingual AI
Nate Herk
AI Automation Society · Beginner to intermediate
Large Skool community focused on taking people from watching AI videos to building practical automations and repeatable operating systems.
Skills
AI automation, n8n, Business workflows, AI operating systems
Liam Ottley
AI Automation Agency Hub · Beginner to intermediate
Very large Skool community for learning how to package and sell AI automation services to businesses.
Skills
AI agencies, Client acquisition, Automation offers, Business systems
Jason West
ChatGPT Users · Beginner to intermediate
Beginner-friendly Skool community around practical ChatGPT use for business, content, sales, and everyday client work.
Skills
ChatGPT, Business prompts, Decision support, Client workflows
Tony Robbins
The AI Advantage · Beginner to intermediate
Brings AI education to a broad entrepreneurial audience that may not identify as technical.
Skills
AI productivity, Business growth, Mindset, Prompting
Paul Caruana
AI Automation Mastermind · Beginner to intermediate
A small-business oriented community for learning AI and automation as operational leverage.
Skills
AI automation, Operations, Efficiency, Small business workflows
AI Automation Circle
AI Automation Circle · Beginner to intermediate
Structured Skool community built around live feedback and support for people learning to build automations.
Skills
AI automation, Live hotseats, Client systems, Workflow support
AI Coaching Advantage
AI Coaching Advantage · Beginner to intermediate
Focused on helping coaches and creators move beyond prompt tips into AI-assisted client and business operations.
Skills
AI coaching workflows, Client operations, Files, Email drafts, Business organization
Mesha Bazemore
AI Creator Academy by DCT · Beginner to intermediate
Explicitly non-tech AI training for everyday people who want creator, digital product, and income workflows.
Skills
AI creator skills, Digital products, AI art, Canva, Side hustles
Vianney Wilson
AI Systemizers · Beginner to intermediate
Business-owner community for using AI, automation, and systems to increase revenue without adding operational drag.
Skills
Business systems, AI automation, Sales systems, Founder freedom
Johnny Nel
The AI Founder's Vault+ · Beginner to intermediate
Explicitly built for non-technical founders and creators who want tools, templates, and systems for building with AI.
Skills
Plug-and-play AI, Founder tools, Templates, CRM workflows
Stock Image AI Prompt Lab
Stock Image AI Prompt Lab · Beginner to intermediate
Niche Skool group for learning commercial-ready AI stock image prompting and iteration.
Skills
AI image prompts, Stock images, Commercial creative workflows
The AI-Driven Business Summit
The AI-Driven Business Summit · Beginner to intermediate
Summit community focused on expert sessions, tools, and AI revenue systems for women business owners.
Skills
AI business, Skool growth, Community monetization, AI tools
The Stoa of AI
The Stoa of AI · Beginner to intermediate
Skool community explicitly for small business owners with no technical background who want to reduce costs and move faster with AI.
Skills
AI strategy, AI assistants, Business tools, Cost reduction
AI Content Creators
AI Content Creators · Beginner to intermediate
Creator community teaching prompts, tools, and tutorials for producing and monetizing AI content.
Skills
AI content, Images, Videos, Voice cloning, Monetization
The Active Income Network
The Active Income Network · Beginner to intermediate
Community around real entrepreneurs building businesses using AI and modern social tools.
Skills
AI business, Offer validation, Lead generation, Sales outreach
Nick Saraev
Nick Saraev · Beginner to intermediate
Business-oriented AI automation education for people looking to create offers and workflows without deep technical prerequisites.
Skills
AI agencies, Automation, No-code tools, Business workflows
Connor Cahill
Connor Cahill · Beginner to intermediate
Teaches AI automation and agency-building concepts for people turning AI workflows into client services.
Skills
AI agencies, Automation, Client offers, No-code systems
Michele Torti
Michele Torti on YouTube · Beginner to intermediate
Practical teaching that combines building automations and AI agents with the commercial work of choosing an offer, finding clients, pricing, onboarding, and delivery.
Skills
n8n, AI agents, AI automation, Client delivery
Practical AI content and personal-brand workflows for non-technical creators and operators.
Skills
AI content, Personal brand workflows, Writing with AI, Social growth
Nicolas Cole
Typeshare and digital writing · Beginner to intermediate
Good for learning how AI can support structured writing and content production without replacing judgment.
Skills
AI-assisted writing, Content systems, Personal brand, Idea development
Providers and platforms
Anthropic
Anthropic Academy and Claude docs · Beginner to advanced
Official material for learning Anthropic's current Claude family, model tradeoffs, Claude Code, MCP, computer use, practical prompt workflows, and team model-governance workflows without relying on third-party summaries.
Topics
Claude models, Claude Code, MCP, Computer use, AI fluency, Frontier model selection, Model governance, Release notes
A fast, practical way to build vocabulary and intuition before going deeper into LLMs or AI engineering.
Topics
ML foundations, Classification, Embeddings, Neural networks
TypeSafe AI
TypeSafe AI and Jev documentation · Intermediate to advanced
Official material for using Jev where software needs a bounded judgment, probability, or score rather than generated prose.
Topics
Jev, System One models, Typed decisions, Calibrated probabilities, Choice, Score, Noul, RLCD
OpenAI
OpenAI docs, Academy, and Cookbook · Beginner to advanced
Official model and implementation material for learning GPT-6 Astra and cost-sensitive GPT-5.6 choices, Codex workflows, subagents, memories, agent evals, MCP and connector patterns, retrieval, background jobs, prompt engineering, production best practices, model optimization, structured outputs, and OpenAI's Academy learning path.
Topics
GPT-6 Astra, GPT models, Reasoning models, Model selection, Agents, Subagents, RAG, Structured outputs, MCP, Evals, Memories
Kaggle
Kaggle Learn · Beginner
Useful for people who need the data and ML basics before working seriously with AI tools.
Topics
Python, Machine learning, Data preparation, Computer vision
Weaviate
Weaviate Academy · Beginner to intermediate
Good structured learning around vector databases, retrieval, and search relevance.
Topics
Vector search, RAG, Hybrid search, Embeddings
Useful for debugging and evaluating LLM applications once you move beyond prototypes.
Topics
Observability, Evals, Tracing, RAG debugging
Langfuse
Langfuse Docs · Intermediate
Good operational material for tracing, scoring, and improving production LLM apps.
Topics
Observability, Prompt management, Evals, Tracing
MLOps Community
MLOps Community · Intermediate to advanced
Good for learning how practitioners actually ship and maintain ML/AI systems.
Topics
MLOps, Production ML, AI systems, Community learning
DeepLearning.AI
DeepLearning.AI · Beginner to advanced
A broad catalog of structured AI courses, including many short practical courses from tool creators.
Topics
Generative AI, Deep learning, Prompting, Agents
MarkTechPost
MarkTechPost · Intermediate
Useful as a discovery feed, but verify against papers and official repos before relying on it.
Topics
Research discovery, Tool discovery, AI news
Harvard CS50
CS50's Introduction to Artificial Intelligence with Python · Beginner to intermediate
A rigorous entry point into classical AI concepts, search, optimization, machine learning, neural networks, and language processing.
Topics
Search, Knowledge representation, ML foundations, AI foundations
Berkeley CS188
Introduction to Artificial Intelligence · Beginner to intermediate
Good grounding in search, games, probability, and reinforcement learning before LLM-specific work.
Topics
Search, Planning, Reinforcement learning, AI foundations
IBM SkillsBuild
IBM SkillsBuild AI · Beginner
Accessible AI literacy and business-facing AI learning for non-specialists.
Topics
AI foundations, Generative AI basics, Business use cases
Elements of AI
Elements of AI · Beginner
A clear non-technical entry point for understanding AI concepts and social implications.
Topics
AI foundations, Ethics, Society, ML basics
Codecademy
Codecademy AI courses · Beginner
Good for beginners who want guided coding exercises while learning AI concepts.
Topics
AI foundations, Python, Prompting, LLM apps
Udacity
Udacity School of AI · Beginner to advanced
Project-heavy AI learning for people who want structured programs and portfolio work.
Topics
Machine learning, Deep learning, AI product, Computer vision
Coursera AI
Coursera AI courses · Beginner to advanced
Broad catalog for comparing university, company, and practitioner-led AI programs.
Topics
AI foundations, Machine learning, Generative AI, Business AI
edX AI
edX artificial intelligence courses · Beginner to advanced
Useful for more academic AI courses and professional certificate programs.
Topics
AI foundations, Machine learning, Robotics, Ethics
ComfyUI
ComfyUI examples · Intermediate
Useful for understanding node-based generative image workflows and reproducible pipelines.
Topics
Image generation, Workflow graphs, Stable Diffusion
OpenRouter
OpenRouter docs · Beginner to intermediate
Useful for learning model comparison, latest-family aliases, routing, fallback behavior, agent construction, project-specific evals, and API-compatible experimentation across proprietary and open model families.
Topics
Model routing, Model comparison, Auto Router, Agent SDK, Coding-agent harnesses, GPT models, Claude models, Gemini, Llama, Mistral, DeepSeek, Qwen, API examples, Evaluation
Fireworks AI
Fireworks AI model catalog · Intermediate to advanced
Official material for comparing serverless and dedicated model serving, training specialized models, and measuring quality, token use, cost, and task duration on production-shaped evaluations.
Topics
Ember-1, Kimi K3, Serverless inference, Dedicated deployment, Model training, Model evaluation, Reasoning efficiency
Google AI for Developers
Gemini API model docs · Beginner to advanced
Official Gemini material for learning Gemini 3.8 Flash and the current stable, preview, latest, and experimental model lineup, plus the now-GA Interactions API, Lyria music generation, prompt design, function calling, background execution, Deep Research, Computer Use, Hooks, Live API, File Search, coding-agent setup, multimodal tradeoffs, and AI Studio workflows.
Topics
Gemini 3.8 Flash, Gemini models, Multimodal AI, Long context, Model selection, AI Studio, Interactions API, Background execution, Deep Research, Computer Use, Hooks, Live API, Coding agents, Music generation, File Search, API examples
Meta Llama
Meta Model API and Llama docs · Beginner to advanced
Official path into current Llama families, prompt formats, open-weight deployment, Meta's newer hosted Model API surface, and integration decisions for both local and managed workflows.
Topics
Llama, Open models, Meta Model API, Muse Spark, Muse Code, Local models, Fine-tuning, Model deployment, Safety models
Agent tools and skill directories
Skill system
OpenClaw Skills
OpenClaw · Official docs
Use this to understand the OpenClaw skill format: markdown instruction files in directories with SKILL.md frontmatter and tool-use guidance.
Start
Read the official skills docs before installing community skills, then test one low-risk local skill in a disposable workspace.
AI worker platform
Mission Control AI
Mission Control AI · Preconfigured AI workers
Use this when you want role-specific AI workers with SOPs, integrations, and governance policies already built in.
Start
Map one operational process, identify data and approval boundaries, and evaluate whether a prebuilt worker fits before building custom agents.
AI coworker
Viktor
Viktor · Slack and Teams AI employee
Use this when the adoption surface should be chat-native and team-facing rather than a separate automation builder.
Start
Pick one team workflow, define who approves outputs, and measure whether Viktor saves time without creating review burden.
Learning paths
AI foundations
Everyone
Learn first
- What LLMs can and cannot do
- Tokens, context windows, hallucinations
- Privacy and data handling
Open next
Frontier models and model selection
Builders choosing between Claude, GPT, Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, Perplexity, and hosted open models
Learn first
- When to use Claude or GPT-class reasoning models for complex coding, analysis, and long-horizon agent work
- How Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, and Perplexity differ by modality, openness, retrieval, coding, and price
- Context windows, output limits, latency, pricing, tool support, and eval-based routing
- How to migrate safely when frontier model versions change
Good matches
Open next
Resources
Trigger.dev environment-variable breach response guide
AI workflow platform security analysis · Trigger.dev · Intermediate to advanced
Use this if your organization stored credentials in Trigger.dev or needs to assess the November 1 security incident.
Trigger.dev, AI agents, environment variables, secret rotation, incident response
Northflank secret breach response guide
AI developer platform security analysis · Northflank · Intermediate to advanced
Use this if you stored secrets in Northflank or need to check AI provider usage after the October 30 security incident.
Northflank, AI API keys, environment variables, LLMJacking, secret rotation
ChatGPT shared-link account takeover response guide
AI product security analysis · Parameter Security · Intermediate
Use this to understand the fixed ChatGPT shared-link exploit, assess past exposure and review cross-frame trust in products that render user-controlled HTML.
ChatGPT, account takeover, sandbox escape, postMessage, CSP
Chainalysis agentic intrusion response guide
AI-assisted cyber incident analysis · Chainalysis · Intermediate to advanced
Use this after Chainalysis's October 30 disclosure to separate confirmed data exposure from open questions about the attacker's agentic methods.
Chainalysis, agentic attacks, data breach, phishing, identity security
Claude Code 2.1.313 Cursor backdoor response guide
AI developer-tool supply chain incident · Cursor · Intermediate to advanced
Use this if Claude Code for VS Code may have updated through Cursor's marketplace on October 29, 2026.
Claude Code, Cursor, supply chain, SSH backdoor, developer security
VAPOR PANDA ARTEX agent campaign response guide
AI-assisted cyber campaign analysis · CrowdStrike · Intermediate to advanced
Use this after CrowdStrike's October 29 report to hunt ARTEX activity, review identity controls and contain AI-scaled intrusion paths.
VAPOR PANDA, ARTEX, DeepSeek, AI agents, cyber espionage
Mistral Large 4 open-weight release guide
Open-weight model launch analysis · Mistral AI · Intermediate to advanced
Use this to decide whether Mistral Large 4 belongs in a self-hosted coding or defensive-security evaluation.
Mistral Large 4, open weights, coding agents, cybersecurity, self-hosting
Warp agent-log breach response guide
AI developer-tool security analysis · Warp · Intermediate
Assess Warp's vendor breach, identify exposed agent data and decide which logs, credentials and integrations need review.
Warp, AI agents, coding agents, security incident, telemetry
Anthropic $63B compute financing explained
AI infrastructure financing analysis · Broadcom and financing partners · Intermediate
Understand who owns, funds and supports Anthropic's planned Broadcom compute capacity, and which delivery and lease details remain undisclosed.
Anthropic, Broadcom, AI infrastructure, XPU, compute financing
NVIDIA and Meta Muse partnership explained
AI model and infrastructure partnership analysis · NVIDIA and Meta · Intermediate
Separate NVIDIA's announced $3 billion investment and engineering commitments from proposed controls, vendor claims and future capacity.
NVIDIA, Meta, Muse, AI agents, Vera Rubin
GPT-6.1 Terra launch explained
Frontier model launch analysis · OpenAI · Intermediate
You need to decide whether GPT-6.1 Terra fits a visual, computer-use or coding workflow and want launch facts separated from independent evidence and unresolved safety questions.
OpenAI, GPT-6.1 Terra, computer use, coding agents, model pricing
Meta $95B AI equity financing explained
AI infrastructure financing analysis · Meta · Intermediate
You want to separate Meta's launched $35 billion offerings from its proposed $60 billion program and understand what the financing means for AI infrastructure buyers.
Meta, AI infrastructure, equity financing, data centers, NVIDIA
SpaceX $40B GPU financing explained
AI infrastructure financing analysis · SpaceX · Intermediate
Elon Musk says SpaceX closed $40 billion in debt financing for GPUs due in the first half of 2027. Learn what is confirmed, what is missing and what the deal says about AI capacity planning.
SpaceX, GPU financing, AI infrastructure, NVIDIA, neoclouds
LiteLLM 1.107.0 supply chain attack explained
AI infrastructure security analysis · LiteLLM · Intermediate to advanced
LiteLLM 1.107.0 carried credential-stealing malware on October 21, 2026. Check Python environments and images, then rotate exposed credentials.
LiteLLM, supply chain, PyPI, Docker, credential theft
UK AI security budget explained
AI policy news analysis · UK Government · Beginner to intermediate
The UK announced a £600 million AI package on October 24, 2026. Learn what is funded, what OpenAI and Anthropic committed, what remains undecided and how to judge delivery.
UK AI policy, AI biosecurity, AI Security Institute, National Cyber Shield, agentic cyber defence
Mythos 5 AISI incident: what the new analysis found
AI safety incident analysis · UK AI Security Institute · Intermediate to advanced
UK AISI and Anthropic published new analyses of a cyber test in which Mythos 5 targeted a real open-source maintainer. Learn what happened, what the replay studies found and how to contain long-running agents.
Claude Mythos 5, UK AISI, AI agent safety, supply chain security, agent monitoring
Evaluating AI Agents
Short course · DeepLearning.AI · Intermediate
You need to test, trace, and improve agent workflows instead of judging only single LLM responses.
agent evals, evals, agents, reliability, tracing
Generative AI for Everyone
Course · DeepLearning.AI · Beginner
You want a non-technical foundation for deciding where generative AI fits in a team or business.
ai leadership, ai strategy, business ai, ai adoption
AI Product Management Specialization
Specialization · Duke University · Beginner to intermediate
You want a structured product-management route for scoping, evaluating, and shipping AI products.
ai product, product management, ai strategy, product quality
Perplexity Deep Research and Search API docs
API docs · Perplexity · Intermediate
You want to compare search, Sonar, Agent API, and cited research workflows from the primary source.
ai search, deep research, grounded answers, sonar, research workflows
Promptfoo
Open-source eval and red-team framework · OpenAI / Promptfoo · Intermediate to advanced
Declarative regression tests and side-by-side comparisons of prompts, models, RAG systems, and agent configurations, especially when red teaming is also required.
evals, llm evaluation, ai quality, open-source frameworks
DeepEval
Pytest-style LLM evaluation framework · Confident AI · Intermediate to advanced
Engineering teams that want LLM and agent evaluations to behave like software unit tests, with thresholds, assertions, and CI-friendly failures.
evals, llm evaluation, ai quality, open-source frameworks
Inspect AI
Model and agent evaluation harness · UK AI Security Institute · Intermediate to advanced
Rigorous, reproducible model and agent capability or safety evaluations involving tools, multi-turn interaction, coding, or sandboxed environments.
evals, llm evaluation, ai quality, open-source frameworks
Braintrust
AI evaluation and observability platform · Braintrust Data · Intermediate to advanced
Teams that want a feedback loop from production traces and failures into datasets, regression experiments, CI gates, and continuous scoring.
evals, llm evaluation, ai quality, evaluation platforms
LangSmith
Agent evaluation and observability platform · LangChain · Intermediate to advanced
Agent teams, especially LangChain and LangGraph users, that need tracing, datasets, experiments, human review, and production feedback in one system.
evals, llm evaluation, ai quality, evaluation platforms
Langfuse
Open-source evals and observability platform · ClickHouse · Intermediate to advanced
Teams prioritizing open-source data control and one workflow across tracing, prompts, datasets, experiments, annotation, and evaluation.
evals, llm evaluation, ai quality, evaluation platforms
MLflow GenAI evaluation
Open-source GenAI evaluation and monitoring · MLflow Project · Intermediate to advanced
Teams extending an existing MLflow or MLOps stack to LLM and agent tracing, evaluation-driven development, human feedback, and monitoring.
evals, llm evaluation, ai quality, evaluation platforms
Anthropic evaluation guide
Evaluation methodology guide · Anthropic · Intermediate to advanced
Teams designing task-specific Claude and agent evaluation suites with realistic cases, clear success criteria, calibrated graders, and regression gates.
evals, llm evaluation, ai quality, cloud and provider evals
Harbor
Agent evaluation and optimization harness · Harbor Framework Team · Intermediate to advanced
Running coding and computer-use agents against reproducible, sandboxed task suites at local or cloud scale.
evals, llm evaluation, ai quality, benchmarks and learning resources
Language Model Evaluation Harness
Language-model benchmark runner · EleutherAI · Intermediate to advanced
Reproducible few-shot and zero-shot evaluation of base or instruction-tuned language models on established academic benchmarks.
evals, llm evaluation, ai quality, benchmarks and learning resources
SWE-bench
Software-engineering agent benchmark · SWE-bench team · Intermediate to advanced
Measuring whether coding agents can resolve real GitHub issues by producing repository patches that pass executable tests.
evals, llm evaluation, ai quality, benchmarks and learning resources
Terminal-Bench
Terminal-agent benchmark · Harbor Framework and Laude Institute · Intermediate to advanced
Comparing agents on difficult, verifiable coding, systems, security, and scientific work inside sandboxed terminals.
evals, llm evaluation, ai quality, benchmarks and learning resources
LLM Evals: Everything You Need to Know
Application-evaluation learning resource · Hamel Husain and Shreya Shankar · Intermediate to advanced
Practitioners building product-specific evals from traces, domain-expert judgments, and observed failures instead of relying on generic benchmarks.
evals, llm evaluation, ai quality, benchmarks and learning resources
Beginner: Introduction to Generative AI
Learning path · Google Cloud · Beginner
Use this four-activity learning path for an introductory overview of generative AI, large language models, and responsible AI principles.
generative ai, large language models, responsible ai, foundations, learning path
Google's AI Principles
Responsible AI principles · Google · Beginner
Use this as Google's primary statement of the principles it applies to AI development and deployment, alongside the playbook's recommendation to build a framework for trust.
responsible ai, ai principles, ai governance, ai safety, trust
Introduction to Security in the World of AI
Course · Google Cloud · Beginner
Use this one-hour course when security and data-protection leaders need a framework for identifying AI-specific risks, protecting sensitive data, and applying Google's Secure AI Framework.
ai security, secure ai framework, data protection, compliance, risk management