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Jun 12, 2026·5 min

Shared context is infrastructure

Agents do not fail only because models are weak. They fail when the world they read is wrong.

Agents do not fail only because models are weak. They fail because the world they read is wrong.

What shared context means

In an APD/M deployment, product, design, and engineering do not run on three private planets. The roots are shared:

• One primary backlog / project board that is allowed to be source of truth

• One git reality for what actually shipped

• Health and metrics that arrive on a schedule

• Decision notes that land while work happens, not in a monthly archaeology dig

• A brain (identity, memory, tools, skills) that sessions can load without re-explaining the company

Meetings still happen. Magic still happens in conversation. The system exists so conversation is not the only hard drive.

What we do not trust

Markdown task files that nobody updates. They rot quietly, then automation treats them as gospel. Overnight workers marching through priorities that were shelved months ago is not leverage. It is expensive fiction.

The fix is not try harder to update the file. The fix is make the board and the repo the sources of truth, and make collectors read those.

Porous by design

Shared context is never perfect. Decisions still get missed. Chat still holds nuance. The standard is not omniscience. The standard is: when an engineer makes a call that changes the product, it should be possible for the system to absorb it without a weekly status tax.

Less lost in a thread someone never saw. More visible in the flow of work.

For operators

If you are building agents and skipping shared context, you are building a very expensive intern with amnesia.

If you are drowning in agent output, check the context layer before you buy another model. Garbage context times ten is still garbage.

APD/M starts under the feet, not in the prompt box.