Context Engineering
Most AI tools forget you the moment you close the tab.
That's a design choice, not a limitation.
We chose differently.
The problem with stateless AI
Every conversation starts from zero. You explain your role. Your project. Your preferences. Again.
The AI doesn't know you shipped that feature last week. It doesn't know your team uses Postgres. It doesn't know you hate verbose comments.
So you repeat yourself. Or worse, you get generic answers that don't fit.
Context changes everything
Give an agent your journal, and it knows what you're working on.
Give it your codebase, and it writes code that fits.
Give it your past decisions, and it learns your judgment.
This isn't magic. It's engineering.
The skill
Context isn't just data. It's the right data at the right time.
Too little: the agent guesses. Too much: the agent drowns.
We call this context engineering. The infrastructure that makes AI actually useful.
What compounds
Every session builds on the last. The more you use Atris, the more it understands:
- How you make decisions
- What you've already tried
- What matters to you
A year from now, your AI will know your work better than any new hire ever could.
That's the difference between a tool that forgets and a partner that compounds.