Composio for building AI agent platforms with integrations
We found Composio to be super useful for building AI agent platforms that needed integrations here at Plank . Also it has been fun to help contribute towards building the Composio platform.
DoorDash had to build an entire platform just to let AI agents use tools in production. That tells us so much about where the agent stack actually is. MCP made it much easier for agents to discover and invoke tools.Read Soham Ganatra’s full post on LinkedIn
- Customers and partners
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Newer: A 3-layer model architecture for agentic coding workloadsSoftware architecture
DBOSify replaces Temporal Python with plain Postgres
Really cool work from Peter Kraft and Qian Li, PhD - DBOSify is a drop-in replacement for Temporal Python that uses Postgres instead of a Temporal server. This lets you run durable workflows, activities, signals, updates, retries, and recovery without needing any infrastructure except Postgres. The other project that took a similar approach was Absurd (github.com/earendil-works/absurd). Excited to try DBosify, hoping there's a Typescript version soon as well. DBOSify GitHub: github.com/dbos-inc/dbosify-py
PlankForward deployed engineering
Join Plank to work on forward deployed AI engineering
Join us at Plank, if you want to work on the most interesting challenges in forward deployed AI engineering and research!
Coding agents
When Codex has an outage during a 2am coding flow
When you are in a nice flow coding on Friday 2am but Codex has an outage....anyone else in same shoes?
Plank
Drew Fitzsimmons asks for a T-Rex, not a sauropod
My favorite feedback on my dinosaur vs virus post was from my CoS Drew Fitzsimmons, who reads the post and then with contained exasperation says - “If you’re going to use the analogy of a dinosaur as an apex predator, couldn’t you at least use an image of a T-Rex rather than a sauropod??!!” 😂 So this one is for you, Drew! Founders must pick between being a virus or a dinosaur
Customers and partners
Congrats to Cheiron on its $8M seed led by Menlo Ventures
Big congrats to my friend Harshit Gupta on a successful raise! Harshit and the Cheiron team are doing something really special here! It was a privilege for Plank to build and learn with them. Excited to see Cheiron change the drug development industry with their platform. Congrats guys!
Plank
Founders must pick between being a virus or a dinosaur
As a startup founder, you only have two paths. Be a virus or be a dinosaur - both are apex predators in nature. Path 1: Be a dinosaur. Your goal is to keep getting bigger and bigger. The idea is simple - you can keep upselling more things to your existing customers. Companies like Salesforce have executed this strategy well. Path 2: Be a virus. You stay laser-focused on a single product or line of business, and you keep your org and core team extremely small and lean. Cursor and Instagram are examples - both built massive businesses with tiny teams. There's no wrong answer. But you have to pick one.
Customers and partnersModels and research
Congrats to Jeremy Nixon on launching Infinity
Congrats to Jeremy and Infinity! The Plank forward-deployed AI research team has really enjoyed working with them on some of the hardest low-level kernel optimization problems. Watch this space!
Coding agentsSoftware architecture
Coding models should be trained for concept minimalism
I hope OpenAI and Anthropic include elegance and concept minimalism as a metric to train against in post training for coding models. These models require a lot of guardrails to be put in the harness else you end up with a cambrian explosion in concepts in your code very quickly. And once that happens, it is hard to backtrack. In the meantime, I recommend people to add a couple of these steps in your harness pipeline: - as one of the adversarial review steps, ask to count the number of new concepts added and critically evaluate if they are absolutely needed. - in systems that involve AI prompts code and software code, don't let the deterministic code be over-engineered. When in doubt, rely on the AI prompts vs hard-coded code. - be clear in your agents.md and claude.md that you like simplicity and elegance. In the coming days, I will share more about my harness where I have this working. In the meantime if you're interested, DM me and happy to show you.