When Code Gets Cheap, Clarity Gets Expensive
By Dennis Chow · 6 min read
I've been watching product teams move faster than ever. GitHub Copilot writes functions in seconds. Cursor generates entire components. V0 spins up UI prototypes before you finish describing them.
And yet, I'm seeing more launches fail. More engineers building the wrong thing. More "wait, I thought we decided..." conversations in Slack.
The constraint shifted. Code used to be expensive — you had to be certain before you built. Now code is cheap. The expensive part is knowing what to build and getting everyone aligned on why.
Why Faster Development Makes Product Clarity More Critical
When development took weeks, you had natural checkpoints. Requirements docs got reviewed because there was time. Stakeholders chimed in during the build because they could see it taking shape.
Now? A feature can go from idea to production in a day. The code moves faster than the clarity.
I talked to a PM last month whose engineer shipped a complete analytics dashboard over a weekend. Beautiful work. Completely wrong metrics. The PM had mentioned "user engagement tracking" in passing. The engineer interpreted that as session duration and return visits. The PM meant feature adoption and workflow completion rates.
The code was cheap. The three weeks of rework weren't.
This isn't about engineers moving too fast. It's about product management not adapting to a world where implementation speed has decoupled from alignment speed. Your job is no longer to slow down development — it's to accelerate clarity.
The Hidden Cost of Moving Fast Without Clear Requirements
Here's what breaks when you skip product requirements documentation:
Engineers make product decisions by default. When the spec is thin, someone has to fill in the gaps. That someone is usually the person writing the code. They're making judgment calls about edge cases, priority, and scope — decisions that should be product calls.
Stakeholder alignment becomes retroactive. You're showing finished work to people who thought they had input. Sales sees the feature and says "our enterprise customers need SSO." Legal sees the data flow and raises compliance questions. You're not iterating — you're rebuilding.
Technical debt masks product debt. Everyone sees the rushed code. Nobody sees the rushed thinking. Six months later, you're refactoring a feature that shouldn't exist in the first place. The codebase gets blamed. The real problem was shipping without conviction.
I've seen this pattern repeat: A team moves fast, breaks things, then overcorrects with process. Suddenly every feature needs a 10-page spec and three approval rounds. Velocity tanks. The org learns the wrong lesson — that speed is bad — when the real lesson is that speed without clarity is expensive.
How to Document Product Requirements When Code Ships Daily
The answer isn't more documentation. It's different documentation.
Your requirements doc used to be a specification — exhaustive, detailed, written before work started. That model breaks when code ships daily. By the time you finish the spec, the feature is half-built.
The new model: requirements as a living artifact that captures decisions, not predictions.
Start with three things:
The job this feature does. Not what it is — what it's for. "Let users export data" is a feature description. "Give enterprise admins a way to satisfy audit requirements without opening support tickets" is a job. The second version tells an engineer what tradeoffs to make.
The decisions you've already made. This is where most PMs go thin. You know CSV export matters more than JSON. You know we're punting on date range filtering in V1. You know we're optimizing for file size under 50MB. Write that down. These decisions are requirements.
The open questions and who owns them. "Waiting on Legal to confirm data retention policy" tells the team what's blocked and why. "Need to validate export format with three enterprise customers by Friday" tells them what's at risk. Unknown unknowns are fine — documented unknowns keep everyone aligned.
This doesn't need to be formal. A Notion doc works. A Linear issue works. What matters is that it exists, it's shared, and it gets updated when decisions get made.
Building a Communication Framework That Scales With Development Speed
The documentation is table stakes. The framework is how you actually maintain alignment when everything moves fast.
Daily decision logs. Not standups — decision logs. End of each day, write three sentences about what got decided and why. "Pushed email notifications to V2 because Engineering flagged a 3-day auth integration." This creates a decision trail. When someone asks "why doesn't this feature..." six months from now, you have an answer.
Stakeholder syncs tied to uncertainty, not milestones. Don't schedule check-ins every two weeks. Schedule them when uncertainty is high. Before you make an architectural choice. Before you cut scope. Before you shift priorities. The calendar doesn't determine the rhythm — the risk does.
Narrative docs over status updates. Write the memo explaining the feature after you ship it. Sounds backwards, but here's why it works: It forces you to articulate the why, the tradeoffs, and the outcome in a format your stakeholders can digest. It becomes the artifact that gets forwarded to the exec team, not your 47 Jira tickets.
This is the part where most product management tools fail you. They're built for tracking work, not capturing thought. You end up with your decisions scattered across Slack threads, Google Docs, Figma comments, and Linear descriptions — which is exactly the problem you're trying to solve.
When I built Lodestone, this was the core tension: PMs have the clarity in their heads, but no efficient way to externalize it in a format stakeholders can actually use. We start with what you already know — your notes, your one-liners, your half-formed frameworks — and help you turn that into a coherent narrative. Not another place to document requirements, but a way to make the documentation you're already creating actually useful.
Tools and Practices for Maintaining Clarity in High-Velocity Teams
Some specific practices that work:
Write the press release first. Amazon's working backwards method. Before you write the spec, write what you'll say when you ship. If you can't make the feature sound compelling in plain language, you don't understand it well enough to build it.
Distinction between requirements and implementation notes. Requirements are "users need to export their data." Implementation notes are "using the CSV library, paginated queries, S3 for storage." Engineers own the second part. You own the first. Don't blur the line.
One-pagers over decks. Slides hide weak thinking. Prose exposes it. Write your feature rationale in paragraph form. If you can't, you're not ready to build.
Version your decisions. Don't edit the original requirement when something changes — add a dated update. "Update Dec 10: Moved SSO to V2 after legal review." This creates a decision history that's invaluable when things go sideways.
The meta-skill here is recognizing that product requirements documentation isn't about documentation — it's about thinking. When code was expensive, sloppy thinking got caught in code review. Now it gets caught in production.
Your job is to make the invisible visible before someone writes the first line of code.