Flow AI

Context is King no. 4 in San Francisco yesterday. A few of the highlights below, full talks on YouTube: youtube.com/playlist?list=… Next up: London. @bergr7 (@flowaicom), Itai Smith (@trychroma), @Romainsestier (@StackOneHQ), @OtsoVeistera (@thetokenco), @NathanBurg (@GitHits_com), @aiven_io

Really excited I got to demo @GitHits_com last night at Context is King! I walked through our two core primitives: • Code Examples: GitHits searches open source code, evaluates quality signals like adoption and contributor activity, and distills it all into a single canonical example with every source cited • Code Navigation: when you know the library you’re working with, your agent can grep, glob, and read any version of any open-source repo on GitHub, plus packages from any of the 10 registries we support through our Code Index We also just removed our waitlist. Anyone can sign up now. Run `npx githits@latest init` in your terminal and you’re good to go. Check out the full demo below. Thanks to @flowaicom and @aiven_io for hosting a great event! youtu.be/aXCPSueyWvk?si…

Sharing my experiences from building specialized harnesses for analytical SaaS companies. It's likely that your harness requires your own defaults around data, context, multi-tenancy, and evolving business rules. After all knowledge work is different from software development. Which default behaviors do you encode in your harness today? Are you encoding them in the best way?

Claude Code is a great agent harness, for coding. For analytical SaaS, it is the wrong default. Our CTO @ksariola took that case to AgentCon Silicon Valley this week, drawing on our experience of building specialized harnesses for analytical SaaS. youtube.com/watch?v=pikC5I…

We are back in San Francisco for Context is King no. 4 on Tuesday, with over 100 builders already in and a few last spots left. My co-founder @bergr7 is going deep on the harness we built at @flowaicom for data-heavy analytical agents. Search structure, memory pointers, multi-tenancy, the parts that make our agents actually work with real data. Joined on stage by Itai Smith (@trychroma), @RomainSestier (@StackOneHQ), @OtsoVeistera (@thetokenco), and @NathanBurg (@GitHits_com). Let's go 🌉

Demoing at Context is King #4 in SF on May 5th, the meetup hosted by @flowaicom and @aiven_io. I'll be running a live demo of @GitHits_com inside my own agentic dev flow, walking through two parts: pulling canonical code examples with citations back to the source libraries, then code navigation that greps and reads through real open source projects to answer questions from the actual codebase. No slides. Happy to take live audience requests for the demo. Come check it out if you're around. Sign-up link is in the comments.

Speaking at AgentCon Silicon Valley on Monday, May 4 at the Computer History Museum.

Speaking at Context is King #4 in SF on May 5th, the meetup we at @flowaicom run with @aiven_io. I’ll be talking about agent-ready knowledge, memory pointers for long context, and multi-tenancy in product data agents. Come along if you're in town!! luma.com/24jez9g5

Super cool to speak at #3 Context is King in Helsinki 🔥 I spoke about: - building the best context for agents that orchestrate GPUs - and demoed ml-intern (credits to @akseljoonas for building it 💪) Thanks to @aaroisosaari (@flowaicom) and @aiven_io for organizing 🙌

Context is King #3 was the biggest and best edition we have run, with a packed room at Wolt discussing how coding agents deal with context. Fitting for the theme of the series, the operations side of running these is also getting smoother each time, with agents handling more of the repetitive work so we can spend our time on the parts that actually need taste. Thanks to everyone involved: @ConfiMind @huggingface @ErikKaum @FSecure @aiven_io @skvark @GitHits_com @woltapp @flowaicom and more SF is up next on May 5, with several other cities in the pipeline ✈️ Images: Nguyen Oanh & Tony Bui

EDIT: Full capacity. Waitlist is open via the link 👇 The Context is King 3 speaker lineup is out! Really happy with how this came together. Six talks from @huggingface, @FSecure, @ConfiMind, @aiven_io, @GitHits_com, and Kaiku, each approaching context engineering for AI coding agents from different directions. If you've been to the previous editions, you know what to expect: implementation stories, live demos, and sharp Q&A. If you haven't, this is a good one to start with. luma.com/gah9jmxx

Context is King 3 – Helsinki, April 23. We started Context is King in February because we wanted an AI meetup where people show real implementations, not pitch decks. We're two editions in: 200+ waitlisted in Helsinki, 250+ registered in SF. Turns out people want to hear how to make AI agents actually work in production. This time, the focus is on context engineering for AI coding agents. Speaker lineup coming soon. Registration open now: luma.com/gah9jmxx @flowaicom @aiven_io

Context is King went down in San Francisco with a full house! 7 speakers covering topics from context compression and data layers for agents to MCP's production gap and long-running tasks in voice AI. Big thanks to everyone who came out and spoke. Special one to Ville / @aiven_io for co-hosting. We're back in April with the 3rd edition – stay tuned!

This week’s most stacked AI engineering lineup in SF: Context is King. 7 talks on handling agent context in production, featuring @FactoryAI, @aiven_io, @ConfiMind, @apify, @pipecat_ai/@trydaily, @daylit_ai and @NangoHQ. 200+ registered and we'll have to close signups soon! luma.com/pivvtm6d

Context is King is back – this time in San Francisco! After a sold-out first edition in Helsinki (200+ waitlist), we're bringing the same format to SF: practitioner-led talks on making AI agents work on real data at scale. Speaking: ‧ @FactoryAI @EnoReyes – context compression for coding agents ‧ @aiven_io – why your agent is flying blind without data context ‧ @ConfiMind – fixing RAG failures in production More speakers to be announced. Wed March 25 in SoMa. Event link in the comments.

Context is King — SF Edition. March 25. Practitioner-led talks on making AI agents reliable on real-world data at scale. Co-organized with @aiven_io. The Helsinki edition sold out with a 200+ waitlist. Same format, new city. Details and speakers dropping soon.

Which operation is faster for an LLM: Read or Write? The right answer is that both are slow. And writing is even slower than reading.

We’re closing the agent dev loop at @flowaicom Claude now reads our evals + traces and suggests fixes.