Put a hard stop between AI code and production.

codeFOUR is your zero-trust firewall for AI-generated code. Paste from ChatGPT, Claude, Copilot or your own tools and get a verdict before it ever hits your repo, servers or customers.

Built for AI-heavy workflows

Whether your AI is ChatGPT, Claude, Copilot or in-house models, codeFOUR sits in the middle and forces every snippet through the same gate.

AI is fast. Production outages are expensive.

AI tools are outrageously good at producing code that looks correct. They are far less good at being accountable when that code is subtly wrong, insecure, or fragile at scale.

codeFOUR doesn't replace your AI copilots. It wraps them in a non-negotiable safety layer: a place where every snippet is validated, sandboxed, and explained before humans or CI can merge it.

For solo builders, that's fewer evenings lost to debugging "almost-right" AI output. For teams, it's one place to set policy and expectations for how AI code enters your stack.

• Chat with your favorite AI tool like normal.
• Send any non-trivial code through codeFOUR first.
• Let humans review the verdict instead of raw AI guesses: issues, risk level, sandbox output.
• Only then does the code get near your repo or servers.
• Over time, you build a habit: AI does the typing, codeFOUR does the gatekeeping.

1. We statically scan for dangerous patterns & obvious bugs.
2. We sandbox the code via Judge0 in 70+ languages.
3. We return a clear verdict: pass / fail, with issues listed.
4. You decide what gets anywhere near your real stack.

The AI debugging tax — in real dollars.

Independent research in ACM Queue shows developers spend roughly 35–50% of their time validating and debugging software. That same body of work estimates debugging, testing and verification account for 50–75% of total software development cost — well over $100 billion a year across the industry.

A separate study from Undo and Cambridge Judge Business School, summarized on DevOps.com, estimates 620 million developer hours every year are wasted debugging software failures in CI pipelines alone, costing the enterprise software market about $61 billion annually.

Assume a mid-level engineer at a fully loaded cost of around $70/hour. If 35–50% of their time is going into validation and debugging, that's roughly $50,000–$70,000 per developer per year spent just on "why did this break?" work. For a 10-developer team, that's about $500,000/year. At 50 developers, you're staring at roughly $2.5 million a year burned on debugging and verification alone.

A 2025 survey from Lokalise, covered by ITPro, found U.S. developers lose nearly 20 workdays per year to bugs, outages and bad tooling — about $8,000 in lost productivity per developer annually — and a quarter of devs say they spend more time debugging than writing code.

AI was supposed to cut that tax. Instead, a 2025 survey reported on DevOps.com (based on Harness's State of Software Delivery) found 67% of teams are now spending more time debugging AI-generated code, and 68% are spending more time fixing AI-related security issues. AI is shipping more "almost-right" code — and humans are paying the bill.

codeFOUR is built to crush that debugging tax. It acts as a zero-trust firewall between AI output and your stack: every snippet goes through the same validator and sandbox before it can become an outage, a security incident, or another midnight rollback. For less than a dollar a day on Solo, you're putting a very cheap, very opinionated bouncer in front of millions of dollars in potential mistakes.

• Devs spend 35–50% of their time on debugging and validation, representing $100B+ / year in global cost.
• CI failures alone waste 620M dev hours / $61B annually.
• A mid-level dev can burn $50k–$70k/year on debugging. Ten of them? ~$500k/year.
• With AI tools, 67% of teams now spend more time debugging AI code, not less.
• Solo codeFOUR pricing is less than a dollar a day. The first time it blocks a bad AI snippet from hitting production, it's paid for itself.