As AI coding agents graduate from autocomplete tool to unsupervised committer, a new category of software is emerging to answer a question enterprises can no longer dodge: who checks the checker? Wrocław-based startup Codaro is one of the clearest bets yet that the answer is not another agent, but an independent audit layer sitting between the AI and the repository — inspecting every change for security holes, hallucinated dependencies and leaked credentials before it ever reaches production.
Codaro, legally registered as Codaro Sp. z o.o. in Warsaw, describes itself as "control infrastructure for AI coding agents." Its pitch is structural rather than incremental: rather than building a better coding assistant, it builds the layer that watches whatever coding assistant a company already uses — Claude Code, Cursor, Windsurf, GitHub Copilot or others — and keeps a verifiable record of what those tools did. The company offers two products built on the same control plane. Codaro Platform pairs its own coding agent with an independent auditor and a hash-chained evidence log. Codaro Compliance strips out the agent entirely, adding policy, audit and a verifiable record on top of whatever AI coding tools an engineering team has already adopted.
"We're not building another tool meant to replace the developer," said Radosław Soysal, Codaro's CEO and co-founder, in comments to My Company Polska. "We want to give companies the ability to use agents whose capabilities are already enormous, but in an environment where the organization retains control over the data, the process and accountability for the final decision." Soysal frames the company's ambition around a specific anxiety inside regulated industries: agents can now write and modify software largely unsupervised, but finance, industrial and critical-infrastructure firms cannot simply take that on faith.
Michał Zieliński, who leads strategy and business development at Codaro, described the company's roadmap in similarly infrastructural terms. "From the start we've looked at Codaro more broadly than as a single tool for developers," Zieliński said. "We want to build infrastructure that can grow with the organization: from simple integrations, through European environments for teams, up to dedicated and fully self-operated deployments." That staged approach — plugin-level integration first, then European inference endpoints, then dedicated or on-premise deployments — is designed to let Codaro sell into sectors where data residency and auditability are non-negotiable.
Mechanically, Codaro's checks run on every save and on demand for full-context review. The system flags hardcoded API keys, database passwords and tokens left in plaintext; it runs a "hallucinated package sentinel" that checks imports against real registries across npm, PyPI, Cargo, Composer, Pub, Go, RubyGems and Maven before install, guarding against so-called slopsquatting attacks where an AI invents a plausible-sounding but nonexistent — or maliciously typosquatted — package name. A best-practices linter catches debug residue, empty catch blocks, stray eval/exec calls and other tech debt AI agents are prone to leaving behind, while a license scanner flags GPL, AGPL, SSPL and EUPL dependencies that could create legal exposure.
The evidence layer is the more novel piece: every AI action is logged into a hash-chained record — timestamp, model used, prompt hash, action taken and outcome — that a company can export as JSON or CSV to reconstruct exactly how a piece of code came to exist and who approved it downstream. When the auditor finds a problem, the flagged issue can be routed back to the agent for a fix and then re-reviewed, creating what Codaro calls a loop of coding, audit, repair and record rather than a static list of warnings.
Codaro is still early-stage. It says it has its first paying customers in Poland and abroad, and it has been backed by the Google for Startups program, ElevenLabs Grants and the OVHcloud Startup Program — accelerator and cloud-credit support rather than disclosed venture funding, and no funding round figures are public. Its infrastructure got a real-world stress test on August 20, 2026, powering the Codaro Coding Challenge II at Google for Startups Campus Warsaw, an event that drew 12 teams and roughly 60 participants.
Why It Matters
The urgency behind this category is not abstract. Security researchers disclosed a cross-vendor prompt-injection technique dubbed "Comment and Control" that hit Claude Code, Gemini CLI and GitHub Copilot simultaneously — a hidden instruction buried in a GitHub issue or pull-request comment that an agent would execute, including posting production secrets back out through GitHub's own infrastructure. Separate Black Hat research found that a single unprivileged GitHub issue could reach CI runner secrets across several major coding agents. Check Point disclosed critical vulnerabilities in Claude Code and a maximum-severity CVSS 10.0 flaw in Gemini CLI that allowed API-key exfiltration simply by opening a malicious repository. GitGuardian's 2026 State of Secrets Sprawl report found that AI coding tools have roughly doubled the rate of leaked secrets reaching public code, and identified more than 24,000 unique secrets — over 2,100 of them confirmed valid — sitting exposed in public MCP configuration files. One widely cited case from earlier this year saw a developer hit with an $82,000 cloud bill after an AI-agent-adjacent API key was stolen, against a normal monthly spend of $180. Against that backdrop, Europe's regulatory clock is also ticking: NIS2 sets shared cybersecurity baselines across 18 critical sectors, the EU AI Act introduces new logging and transparency duties, and the Cyber Resilience Act adds product-security requirements — all pushing companies toward exactly the kind of auditable evidence trail Codaro is selling.
What to Watch
Codaro sits in an increasingly crowded lane that includes AI code-review platforms like Qodo and agent-governance vendors such as Fiddler AI and Arthur AI, though most of those are US-anchored and not purpose-built around European data residency or a hash-chained audit trail. The near-term signals worth tracking are whether Codaro converts its accelerator backing into a disclosed funding round, how many of its "paying customers" sit in the regulated sectors it is courting, and whether its on-premise and dedicated-deployment tiers — still defined case-by-case rather than sold off a price list — actually close deals with finance, industrial and critical-infrastructure buyers before larger, better-capitalized governance platforms build equivalent audit layers of their own.
“We're not building another tool meant to replace the developer. We want to give companies the ability to use agents whose capabilities are already enormous, but in an environment where the organization retains control over the data, the process and accountability for the final decision.”— Radosław Soysal, CEO and Co-Founder, Codaro