VIBERS
People and companies to know in AI. Explore their work, ideas, and experience.
301Javier Garza
Javier Garza is a staff developer advocate at Snyk and co-author of Learning HTTP/2. His teaching spans web performance, application security and the practical security problems introduced by AI agents.
Start with Learning HTTP/2
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302Nyah Macklin
Nyah Macklin is a senior developer advocate for AI at Neo4j and founder and CTO of Afros in AI. They teach context engineering and knowledge graphs while building communities around practical and responsible AI development.
Start with Context graphs and AI memory across the globe
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303Joshua Mo
Joshua Mo is lead developer relations engineer at Venice AI and a Rust software engineer. He writes practical tutorials on AI agents, WebAssembly and the infrastructure around model applications.
Start with Rewriting Claude Code in Rust
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304Wolfram Ravenwolf
Wolfram Ravenwolf is an AI evangelist at Weights & Biases by CoreWeave and creator of WolfBench. His work compares local models and agent configurations, emphasizing consistency across repeated attempts.
Start with WolfBench
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305Du’An Lightfoot
Du’An Lightfoot is a senior developer advocate at Akamai, creator of LabEveryday and a builder of AI agents and MCP tools. He teaches the infrastructure work needed to move agents from demonstrations into systems a team can operate.
Start with Agents That Own Their Inference
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306Yoni Michael
Yoni Michael is a co-founder of Typedef, which builds a context layer for data-engineering agents. His work focuses on giving agents the relationships and business definitions needed to make reliable changes across a data platform.
Start with The Data Context Layer
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307Michael Rishi Forrester
Michael Rishi Forrester leads AI workforce transformation at Accenture LearnVantage. His teaching connects platform engineering with agent governance, emphasizing controls enforced by the surrounding infrastructure.
Start with Build a Platform and Watch It Burn
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308Thor Schaeff
Thor Schaeff works on developer experience for the Gemini API at Google DeepMind. His tutorials connect model APIs, application code and the infrastructure needed to turn a demonstration into a usable product.
Start with Self-host Maps with Protomaps and Supabase Storage
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309Thorsten Hans
Thorsten Hans is a senior developer advocate at Akamai who teaches cloud-native and serverless software development with WebAssembly and containers. His work centers on practical distributed systems and the Spin ecosystem.
Start with Component Composition with Spin 4.0
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310Olive Song
Olive Song leads reinforcement learning research at MiniMax. She works on training and evaluating models for coding and agent tasks, where success depends on completing a sequence of actions rather than producing one plausible answer.
Start with Intelligence with Everyone: RL at MiniMax
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311Jesse Hall
Jesse Hall is the developer educator behind codeSTACKr and a staff developer advocate at LiveKit. He creates articles, videos, courses and presentations that teach web application development and real-time AI interfaces.
Start with 100 Days of JavaScript
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312Gil Feig
Gil Feig is cofounder and CTO of Merge, which connects software products and AI agents to business systems. He writes about building reliable integrations.
Start with What everyone is getting wrong about context graphs
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313Viren Baraiya
Viren Baraiya is the cofounder and CTO of Orkes and a cocreator of Conductor, the workflow orchestration system originally developed at Netflix. He works on making distributed applications observable, durable and easier to operate.
Start with Event-Driven Microservices With Orkes Conductor
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314William Lyon
William Lyon works on graph intelligence at Neo4j and writes about building applications with connected data. He is the author of Full Stack GraphQL Applications, a practical guide to a graph-backed web application.
Start with Full Stack GraphQL Applications
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315Abhigyan Arya
Abhigyan (Abhi) Arya is an engineer at Reducto and the former cofounder and CTO of Opennote. His work spans document infrastructure, search, real-time systems, AI agents and human-computer interaction.
Start with Opennote acquisition announcement
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316Rafal Wilinski
Rafal Wilinski is a founding engineer at Runlayer and the creator of Dynobase. His work spans serverless infrastructure, developer tools and the evaluation of AI agents operating through external services.
Start with Agentic Evals Pyramid
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317Ben Dicken
Ben Dicken is a developer educator at PlanetScale who combines database teaching, performance experiments and customer support. His interactive explanations show how database mechanisms affect the behavior of ordinary applications.
Start with Database Scaling
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318Dru Knox
Dru Knox is head of product and design at Tessl, where he develops AI-native tools for software teams. His work focuses on the context, checks and feedback loops that make coding agents useful beyond a single generated patch.
Start with The Tessl Agent: Build Your Software Factory on Autopilot
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319Matt Brockman
Matt Brockman is an AI engineer at E2B who teaches how to operate isolated computing environments for agents, including their processes, files and workspaces.
Start with How I Learned to Stop Worrying and Love the Sandbox
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320Marc Klingen
Marc Klingen is a cofounder of Langfuse and leads its team at ClickHouse. Langfuse is an open-source platform for tracing, evaluating and improving applications built with language models and agents.
Start with Langfuse
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321Charles Frye
Charles Frye works at Modal on AI infrastructure and explains the relationship between GPU hardware, model inference and application performance. He also teaches the foundations of machine learning and neural networks.
Start with A high-level guide to GPU utilization
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322Charlie Guo
Charlie Guo works on OpenAI’s developer experience team and writes Artificial Ignorance. He builds and explains practical AI workflows through guides, tutorials and examples for developers.
Start with Shell + Skills + Compaction: Tips for long-running agents that do real work
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323Gabriel Chua
Gabriel Chua is OpenAI’s developer experience engineer for APAC. He helps developers build, ship and scale AI applications, following public-sector work on responsible AI and systems to combat online scams at GovTech Singapore.
Start with Open NotebookLM
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324Willem Pienaar
Willem Pienaar is a cofounder of Cleric and the creator of Feast, an open-source feature store for machine learning. His work connects data infrastructure with AI systems that investigate production incidents.
Start with Beyond Investigation Agents: Building Operational Memory That Compounds
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325Fuad Ali
Fuad Ali is a staff AI product manager at Arize AI. He works on observability, evaluation and experimentation, the feedback process that helps a team understand and improve an agent after deployment.
Start with The Next Iteration
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326Zack Proser
Zack Proser is an AI engineer on WorkOS’s applied AI team. He builds retrieval systems, agent harnesses and evaluations, and publishes detailed accounts of the engineering and interface decisions behind them.
Start with Applied AI: Three Learnings from Shipping
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327Melanie Warrick
Melanie Warrick is senior staff developer advocate for AI at Temporal and a cofounder of Fight Health Insurance. Her engineering and teaching work focuses on AI applications that remain useful through failures and real-world constraints.
Start with Temporal & AI and durable-agent demos
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328Sujee Maniyam
Sujee Maniyam is an AI developer advocate at Nebius. He builds open-source examples, teaches workshops and helps developers evaluate and use open models in working applications.
Start with LLM Quick Bench
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329Jeremy Adams-Casañas
Jeremy Adams-Casañas is a senior developer advocate at Neo4j. He teaches graph-based applications and agent memory, drawing on earlier technical and business work in developer infrastructure and automation.
Start with Video Context Graph
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330Bogdan Gaza
Bogdan Gaza is cofounder and CTO of DatologyAI, which builds infrastructure for curating model-training data. He brings infrastructure engineering and management experience from Amazon, Twitter and the startup Moonsense.
Start with Curating Our Way to a State-of-the-Art Text Dataset
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331Harald Kirschner
Harald Kirschner is principal product manager for Visual Studio Code and GitHub Copilot at Microsoft. He works on the editor’s AI experience, combining product strategy, user feedback and developer-tool integration.
Start with Beyond the tools, adding MCP in VS Code
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332Derek Meegan
Derek Meegan is a software engineer at Browserbase. He builds internal agent infrastructure and developer tooling, following customer engineering work that connected enterprise users’ needs with browser-automation products.
Start with Serverless Browser Agents with Playwright, Lambda and Browserbase
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333Jakub Hojsan
Jakub Hojsan is a forward deployed engineer at Exa, helping customers connect web search to AI agents and production applications. His talks explain how current documentation can correct a coding model’s outdated assumptions.
Start with Your Coding Agent Is 6 Months Out of Date — Jakub Hojsan, Exa
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334Dylan Couzon
Dylan Couzon is a developer relations engineer at Qdrant. He writes and presents technical guides to vector retrieval, on-device memory and the tradeoffs in choosing embedding models.
Start with Memory at the Edge
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335Kushal Chakrabarti
Kushal Chakrabarti studies reliable AI and advises builders at South Park Commons. A former chief research officer at Opendoor, he writes Obviously Wrong and researches how coding-agent instructions accumulate and can be maintained.
Start with Why Does CLAUDE.md Keep Growing?
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336Kevin Stubbings
Kevin Stubbings works in GitHub Security Lab and writes about practical vulnerability research. His guides connect CodeQL analysis, browser security and AI-assisted audits with concrete examples developers can reproduce.
Start with How we found 24 Android vulnerabilities using our open source AI security agent
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337Zach Lloyd
Zach Lloyd founded Warp, a developer-tools company whose terminal grew into an environment for working with coding agents. He writes about organizing software development around automated workflows and measuring their cost and quality.
Start with The Factory Stack
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338Kevin Hou
Kevin Hou is a software engineer whose work includes Google Antigravity, Windsurf and Codeium. His background spans AI developer tools, autonomous-vehicle software at Nuro, and interface design.
Start with async-post-message
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339Tereza Tizkova
Tereza Tizkova works on startup growth and teaches how coding agents execute software. Her work includes growth at Factory and E2B, a DeepLearning.AI course, and a public directory of AI agents.
Start with Building Coding Agents with Tool Execution
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340Andrew Orobator
Andrew Orobator is a senior Android engineer at Reddit. He publishes tools and teaching material for Android developers and develops workflows that make coding agents carry engineering decisions across tasks.
Start with Scale the Judgment, Not the Model — Andrew Orobator, Reddit
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341Charlie Holtz
Charlie Holtz is cofounder and CEO of Conductor, a Mac app for running coding agents in parallel. Previously a hacker in residence at Replicate, he builds interfaces and demonstrations that make AI systems easier to use.
Start with Orchestras, Not Factories: How the Fastest Builders Work — Charlie Holtz, Conductor
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342Tejas Bhakta
Tejas Bhakta is founder and CEO of Morph, which builds models and infrastructure for coding agents. His technical work focuses on making inference and the supporting operations around an agent faster and more reliable.
Start with Autoresearch Made Our Models 3x Faster — Tejas Bhakta, Morph
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343Erina Karati
Erina Karati builds applied AI systems, including multi-agent game companions and tools for local journalism. Her work on Project Paradox examines how agents preserve memories, uncertainty and the consequences of earlier interactions.
Start with Long-Horizon Agents Need Experiments, Not Just Prompts — Erina Karati
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344Arunachalam Manikandan
Arunachalam Manikandan is a software engineer at VIAVI Solutions who builds applied AI systems. His public work includes MinneDigest, biomedical image analysis and the Project Paradox multi-agent game framework.
Start with MinneDigest project account
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345Lakshya A Agrawal
Lakshya A Agrawal is a computer science PhD student at UC Berkeley and a creator of GEPA. He studies how AI systems improve through experience by changing prompts, agent configurations and model weights.
Start with GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
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346Roland Gavrilescu
Roland Gavrilescu is cofounder and CEO of Introspection, which builds infrastructure for improving deployed AI agents. His public work connects agent traces, human judgment and reusable evaluations with an earlier interest in reinforcement learning and computer vision.
Start with The Loop Is the Product — Roland Gavrilescu, Introspection
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347Devansh Tandon
Devansh Tandon works on foundation models and large-scale recommendation systems at Meta. His research and talks explain how content can become a compact vocabulary that lets a language model select videos and respond to stated user preferences.
Start with Teaching Gemini to Speak YouTube
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348Christopher Manning
Christopher Manning is a Stanford professor emeritus and a distinguished member of technical staff at Moonlake, where he leads foundation-model work. His research spans statistical language processing, word representations, neural translation and linguistic structure.
Start with World Models Need Causality, Not Pretty Pixels
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349Antonio Morales
Antonio Morales works in GitHub Security Lab on fuzzing and vulnerability research. He writes practical guides to generating test inputs, interpreting coverage and using AI agents to investigate open-source software.
Start with Fuzzing101
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350Deepak Pathak
Deepak Pathak is cofounder and CEO of Skild AI and Raj Reddy Associate Professor at Carnegie Mellon. He studies how robots can learn useful representations, explore without dense rewards and adapt to unfamiliar physical conditions.
Start with RMA: Rapid Motor Adaptation for Legged Robots
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