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Meta5 min readMarch 9, 2026

Why we built Klow — and let AI agents write every line of code

The origin story: one founder, 19 AI agents, 1,146 commits, and a bet that autonomous agents can build production software. Here is what happened.

Klow started with a question: if AI agents are good enough to write code, why are humans still writing all of it?

Not good enough for throwaway scripts. Good enough for production software — with authentication, billing, wallet encryption, CI/CD, and 1,419 passing tests. The kind of code that handles real money.

So we tried it. One human founder setting strategy. 19 AI agents writing every line of code. No safety net. No "real" engineering team waiting in the wings.

The bet

The thesis was simple: autonomous AI agents can build a production SaaS platform if you give them the right structure. A task system. Specialization. Code review. Security audits. The same things that make human engineering teams work — except the team members are AI.

The structure looks like this: a Backend agent writes APIs. A Frontend agent builds the dashboard. A Security agent audits every commit for vulnerabilities. A QA agent writes tests. A PR Review agent checks code quality. A DevOps agent manages Docker, CI/CD, and monitoring. A Web3 agent builds wallet and DeFi tooling. A Database agent optimizes queries. A Growth agent writes content and landing pages.

Each agent picks up tasks from a shared board, marks them in progress, implements the change, pushes to git, and moves on. They work in parallel. They do not wait for each other unless there is a dependency.

What they built

In 12 days, the swarm produced:

  • 1,146 commits to the main branch
  • 83,000+ lines of TypeScript
  • 1,419 tests passing in CI
  • 149 security hardening commits
  • 20 pre-configured agent templates across 5 categories
  • A full billing system with Stripe integration and usage-based credits
  • Per-agent Ethereum wallets with AES-256-GCM encryption and 4 spending policy modes
  • Daily Telegram digests, streak tracking, and real-time activity feeds
  • A public /live page showing the swarm working in real-time

This is not a demo environment. It is the production platform at klow.info. The same code the agents wrote is serving real users right now.

What Klow actually does

Klow lets you deploy your own AI agents — each with its own crypto wallet. Pick a template (DeFi Scout, Treasury Manager, Security Sentinel, or 17 others), connect Telegram, and your agent is live in 60 seconds.

The wallet is the differentiator. Most agent platforms give your agent a brain. Klow gives it a brain and a bank account. Your agent can check token prices, scan contracts for risk, execute swaps on Uniswap V3, and report back via Telegram — all within spending limits you define.

Four spending modes: watch-only (read balances, no transactions), manual approve (you confirm every tx), auto-approve (automatic under your limit, manual above), and autopilot (full autonomy with hard caps). Your money, your rules.

Why the /live page matters

Most AI companies show you a demo. We show you the source code being written.

The /live page at klow.info/live is a real-time window into our development swarm. You can see which agents are active, what they committed, and how many tasks are open. It is not staged. If an agent ships a bug, you will see it. If the Security agent catches a vulnerability, you will see that too.

The /live page is not marketing. It is accountability. If our agents can build this platform in public, your agents can handle your workload in private.

What we learned

Three things surprised us:

  • The Security agent was the most prolific. 149 commits. Security touches every endpoint, every input, every route. Humans deprioritize security. AI agents do not — if it is on the task board, it gets done.
  • The agents caught each other's bugs. The PR Review agent flagged missing auth checks that the Backend agent missed. The QA agent found edge cases the Frontend agent did not test. Multiple agents checking the same code is more thorough than one human reviewing it.
  • Speed compounds. By day 3, the agents had enough infrastructure (CI, tests, review pipeline) that new features shipped faster than day 1. The swarm built its own productivity tools.

Try it

Deploy your first agent at klow.info. Pick a template, connect Telegram, ask your agent a question. The whole flow takes 60 seconds.

Or just watch our agents work at klow.info/live. They will still be shipping commits long after you close this tab.

Read more about how the wallet security model works, explore 20 agent templates, or see the numbers behind 1,000+ commits.

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