Build and publish apps with agents.
Give your coding agent the Applet skill and tell it your idea. It builds the app and puts it online.
Agentic Engineering
Build better software with AI.
We pioneer the tools, platforms, and practices that let teams build software in fundamentally new ways.
The shift
A new way to build software
AI is not just making developers faster. Coding agents change how software gets built, who builds it, and what a single team can take on.
AI as an assistant
Developers write every line
AI suggests the next line
Processes built around handoffs
Knowledge lives in people's heads
Problems surface late in review
Only engineers build software
AI-native development (Agentic Engineering)
Engineers direct agents toward goals
Agents plan, implement, and test
Tight loops of intent, execution, and validation
Context is engineered and shared
Checks and guardrails built into the loop
Domain experts build alongside engineers
The Breakthrough
In 2024, coding agents like Claude Code and Cursor revolutionized software development by learning to navigate complex codebases, break down tasks, and execute autonomously. That same breakthrough now changes how teams plan, build, test, and ship software, not just how fast they write code.
80%
improvement on individual coding tasks
2.5 hrs
saved per week on routine work
78%
report productivity gains across development tasks
Under the hoodThe Agent Harness
The Agent Harness
Calling models in a loop
An agent is not a single model call. It calls models in a loop, and its behavior emerges as that loop works toward a goal.
The agent harness
The harness is the machinery around the model. It receives instructions, assembles context, calls LLMs, runs tools, validates results, and decides whether to continue. It also enforces the sandboxes, network and data boundaries, and observability required for reliable operation.
A growing ecosystem of SDKs, including Pi, Codex, the Claude SDK, AWS Strands, and PydanticAI, makes it possible to build custom agent harnesses.
We are vendor-agnostic and help organizations choose the right SDK and architecture for their strategy, requirements, and operating environment.
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Our Services
Hands-On Agentic Engineering
We enable organizations to shape their software development strategy for the age of AI, from engineering practices to building dependable applications and platforms.
About Tavon
Built by practitioners.
Tavon is led by Matthias and Ivan. We build with agents every day, in our own products and alongside client teams, and bring what works into enterprise environments.
- Technical depth
- Enterprise experience
- What works in production
Matthias Lübken
Ivan Pedrazas
Thinking
We Speak Agentic AI
From agent harnesses to engineering practices, we track the patterns, platforms, and implementation questions that matter.
Coding agents beyond codingWhy coding-agent breakthroughs matter for enterprise workflow automation.Microsoft Copilot Cowork and enterprise agentsA practical view on what enterprise agent systems are becoming.AI-native companies and implementation realitiesOperational lessons for organizations moving from experimentation to execution.
Next step
Build software in fundamentally new ways.
Whether you are introducing coding agents, making an AI-built application dependable, or setting up a platform for your teams, we work hands-on with you.