AI SDLC - open source
An open-source project that explains how we build software with AI, from signal to production. We are looking for active collaborators.
65% software engineers.
35% project managers, strategists, designers, and support staff.
2% turnover rate among developers.
80 people working remotely and asynchronously from day one. We organize engineering in small, self-contained units, with one experienced engineer owning a project end to end. AI handles more execution; people own judgment, architecture, security, and results.
We take on complex technical challenges that have to hold up in production.
We work with Fortune 500 companies and high-impact institutions, including Harvard and PayPal. Our work spans enterprise AI, search, modernisation, and event-driven systems.
Alongside services, our Venture Builder creates AI-native products for regulated and high-stakes markets.
We remain bootstrapped and financially independent. That independence lets us invest in people, research, and products for the long term.
We take the work seriously and care about wellbeing, sustainability, and the people behind it.
These are some of the technologies and disciplines we work with:
AI agents · Information retrieval · RAG · Evals · Data pipelines · Event-driven systems · TypeScript · Python · Java · Kotlin · React · Kubernetes
English is our working language.
Spanish is our native language.
Our team is internationally distributed.
TAM OS is becoming our operational core and the technological foundation we bring into client work. It is our internal platform that centralizes company context so AI agents can act on it. nau!, our first Venture Builder bet, applies AI to mortgage switching. We are a Select Services Partner in the Claude Partner Network.
More than half of services revenue now comes from AI. The Venture Builder launched to build, own, and scale AI-native products in regulated and high-stakes industries.
We created an independent AI and product unit focused on information retrieval and semantic search. AI Findr became the first major result: conversational AI search for complex enterprise environments.
eBay's innovation team became our first US client. Referrals from senior technical leaders grew the company into long-term work with Fortune 500 businesses and institutions such as Harvard and PayPal.
Jaime López and Javi Toledo founded The Agile Monkeys in the Canary Islands. The goal was clear: remain independent and solve complex, real problems that few teams were addressing.
Open-source engineering, shared learning, and AI-native ventures
An open-source project that explains how we build software with AI, from signal to production. We are looking for active collaborators.
Where we publish production learnings, benchmarks and field notes on AI agents, RAG, evals, architecture, and modernization.