Shared Context Is the New Infrastructure
In the agent era, context becomes the most valuable technical asset your team has.
Your team has probably put a lot of time and money into the systems that keep your software running, like CI/CD pipelines, observability tools, and cloud infrastructure. These pieces of your stack are regularly discussed and versioned, and you even hire people into dedicated roles just to manage them. These parts of the stack are treated as serious engineering concerns because everyone understands what happens when they fail. But there's a new asset popping up that might catch your team off guard and end up almost completely unmanaged. As agents become part of your stack, shared context might end up being one of your most important assets.
Shared Consciousness in the Agent Era
In his book Team of Teams, Stanley McChrystal wrote about transforming the Joint Special Operations Command not by giving soldiers better weapons, but by building what he called a "shared consciousness," a culture where everyone, regardless of role or rank, operated from the same understanding of the mission, the constraints, and the reasoning behind decisions. The result was an organization that could move fast while staying coherent, which is a lot harder to pull off than it sounds.
For a software team, shared consciousness comes down to a few concrete things. You need shared briefs that answer what you're building, who it's for, why you're building it, and what success actually looks like. A shared glossary so that when someone says "user" or "event" or "session," everyone means the same thing, because ambiguous language produces ambiguous systems. Shared constraints that document what you're explicitly not doing and what tradeoffs you've already made. Shared architectural invariants: the rules the system must always obey, the patterns you've agreed on, and the lines you don't cross.
When all of that is written down, everyone is building from the same mental model, including the agents.
Why Context Beats Prompt Tricks
There's no shortage of advice about how to write better prompts: smarter instructions, stronger few-shot examples, and carefully structured system prompts. Those techniques can make a noticeable difference in a specific interaction, but they're the wrong lever if you're trying to solve a team-level problem.
A team that has documented its architectural principles, its design constraints, and its product reasoning can give that context to any agent on any task and get outputs that actually fit the system and product. A team that relies on one developer's carefully crafted prompts gets consistency for that developer on that task until they're out sick or they move on. The difference comes down to durability: clever prompts are personal, and shared context persists across people, roles, and sessions.
Product, Design, and Engineering in the Agent Era
Each discipline has a distinct role in building shared context, and a real stake in making sure agents work within it.
Product defines the outcome metrics agents optimize for. What does a good solution look like? What user problems are off-limits to solve if solving them creates new ones? Without this, agents will make tradeoffs that are technically reasonable but wrong for the product, and those decisions will be hard to trace back to when they were made.
Design encodes the UX principles agents have to respect: accessibility standards, interaction patterns, the reasoning behind layout decisions. Without this, agents will produce interfaces that are functional but feel off in ways that are hard to articulate until users start complaining.
Engineering defines the durability constraints: performance budgets, security requirements, and architectural patterns that predate the current sprint and can't just be refactored away because an agent sees a cleaner approach.
The boundaries agents operate within only exist if all three disciplines actually build them together. That means this isn't something engineering can own alone.
What This Looks Like in Practice
A standard PRD template that agents can read before planning a feature gives them the product context they need to make reasonable decisions, not just as a prompt but as a living document the whole team maintains. ADR repositories (Architecture Decision Records) that capture not just what was decided but also why tend to work surprisingly well with agents. Agents are actually quite good at respecting constraints when they understand the reasoning behind them.
"How we reason about X" docs are useful for the recurring judgment calls that teams relitigate every sprint—how you think about performance vs. speed of delivery, how you handle third-party integrations, and what your philosophy on error handling is. Writing this down once doesn't just help agents. It forces the team to agree on an answer. And explicit norms around AI usage, like where agents are trusted to move fast, where human review is required, and which decisions shouldn't be delegated, belong in your repo alongside your code, not buried in some Notion page nobody opens.
If context is infrastructure, it deserves to be treated like infrastructure: versioned, reviewed, maintained, and accessible to everyone who needs it. The teams that do this won't just use agents more effectively; they'll build more coherent products, because they'll have finally written down what "coherent" means.