Build: Your team writes, ships and owns the code

Models your domain exactly. No bending your process around someone else's product.

✦Fit was always Build's strength. AI doesn't change it, but it does make getting there cheaper.

What you build is what competitors can't buy. Customers experience the core of your product as your code.

✦Anyone can buy or prompt the commodity parts now, so the parts only you have are worth more.

No per-seat or per-transaction fees that grow with you. Adding a user costs close to nothing.

✦Unchanged. At high volume, owning the code is still the cheapest way to run.

Same input, same output. You can unit test it, audit it, and explain it to a regulator.

✦LLM-driven parts are probabilistic, so a deterministic core you can verify is worth more than before.

Nothing leaves your perimeter. Security and privacy follow your rules.

✦Proprietary data is now the thing that makes AI useful. Keeping it in-house has strategic value.

Months of design, implementation, hardening and edge cases before users see anything.

✦Coding agents compress weeks into days for well-specified software. This is the biggest shift.

Engineer-months are expensive, and you pay them before you learn whether it works.

✦The same team ships 2–5× more. Upfront cost drops, but review and judgment don't compress.

60–80% of lifetime software cost comes after launch: upgrades, CVEs, migrations, on-call.

✦Agents handle dependency bumps, migrations and bug triage. Ownership and on-call are still yours.

Every engineer rebuilding commodity software isn't working on your core product.

✦With cheaper engineering hours, rebuilding a commodity tool steals less from your core roadmap.

Tribal knowledge concentrates in a few people. When they leave, so does velocity.

✦Agents can read, explain and modify unfamiliar codebases, which softens the bus factor.