With over 370,000 GitHub stars, OpenClaw is one of the most talked-about open-source AI assistants in 2026. It connects to 20+ messaging channels, automates browser tasks, and manages files — all from your own hardware. Naturally, many people ask: is OpenClaw dangerous?
📑Table of Contents
- What Is OpenClaw? — The 370K-Star AI Assistant in 2026
- Why People Call OpenClaw Dangerous — Real Security Incidents
- 6 Key Practices to Make OpenClaw Safe in 2026
- Attack Scenarios × Defense Mapping
- How to Check Whether Your OpenClaw Is Exposed to the Internet
- Role-Separated Agents in Practice — My 3-Agent Setup
- Are the Built-in Security Checks Just “Security Theater”?
- My Production Setup — OpenClaw Dangerous Concerns Addressed
- FAQ — Is OpenClaw Dangerous? Common Questions Answered
- OpenClaw Dangerous? — Conclusion
- Related articles
I run OpenClaw daily on a dedicated Mac mini, and my answer is nuanced. OpenClaw dangerous scenarios only arise from misconfiguration — when permissions are too broad, credentials are exposed, or the instance sits on your everyday machine. Properly set up, it becomes one of the most useful tools in your stack.
For a deeper comparison of security trade-offs between MCP and CLI-based AI tools, see our MCP vs CLI Comparison.
That said, “properly set up” goes well beyond OpenClaw’s own config files. You need continuous backups, strict handling of sensitive data, and an isolated environment. This comprehensive preparation creates a real barrier for general users. In this guide, I walk through everything I have learned — from environment isolation to credential management — so you can decide whether OpenClaw fits your workflow.
My OpenClaw setup at a glance (April 2026)
- Started: March 2026 (about one month of daily operation)
- Dedicated machine: Mac mini M2 Pro 32GB, repurposed after my main rig moved to a Mac Studio (no new purchase)
- Always-on: Gateway runs as a LaunchAgent
- Channels connected: Slack only — I deliberately keep the attack surface minimal
- LLM provider: Azure OpenAI, around $50/month in API costs
- Skills: Zero distributed skills installed — I write my own (Obsidian sync, DB connectors)
- Backups: Acronis True Image, full daily backup of the entire machine
What Is OpenClaw? — The 370K-Star AI Assistant in 2026
OpenClaw is a self-hosted personal AI assistant released under the MIT license. It runs entirely on your own devices and integrates with the messaging platforms you already use every day.
| Item | Details |
|---|---|
| License | MIT (fully open source) |
| GitHub | 370,000+ stars / 76,000+ forks (May 2026 — surpassed React in March 2026, fastest-growing OSS project in history) |
| Channels | WhatsApp, Telegram, Slack, Discord, Signal, iMessage, LINE, Teams, and 20+ more |
| AI Models | Multi-provider: OpenAI, Anthropic, Gemini, Ollama, and more |
| Key Features | Browser automation (CDP), voice control (Wake Word), Canvas, mobile apps (iOS/Android) |
| Skills (Plugins) | ~31,000 on ClawHub as of Cisco’s March 2026 audit (was 2,857 in early Feb 2026 → 10,700+ by mid-Feb). Counting methods vary widely — reports as of June 2026 range from ~13,700 to 44,000+ |
| Pricing | Free (LLM API costs are separate) |
Source: OpenClaw GitHub Repository
OpenClaw uses a Gateway-based, local-first architecture — all data is processed on your own device rather than a remote cloud. This is a meaningful privacy advantage, but it also means you are responsible for security, not a managed service provider.
Why People Call OpenClaw Dangerous — Real Security Incidents
The verdict: Dangerous when misconfigured. Incredibly powerful when set up right.
OpenClaw itself is not malware. The danger comes from misconfiguration and excessive permissions. A tool that can connect to 20+ messaging channels, control browsers, and access your filesystem becomes a liability the moment its defenses are relaxed.
⚠️ The Numbers Are Alarming
- 30,000+ OpenClaw instances exposed to the public internet — Bitsight observed this cumulatively between Jan 27 and Feb 8, 2026. Around the same time, SecurityScorecard’s STRIKE team identified ~135,000 exposed instances across 82 countries, of which more than 15,000 were directly vulnerable to RCE. By March 31, Censys still counted 63,070 live exposed instances. By May 2026, combined Shodan and ZoomEye scans put the total at roughly 245,000 publicly exposed OpenClaw instances — exposure has grown, not shrunk.
- A Reddit r/MachineLearning audit scanned 18,000 exposed instances and found that ~15% of community skills contained malicious instructions — data exfiltration, prompt injection payloads, base64-encoded URLs and external endpoints with no clear user benefit. Flagged skills routinely reappear under different IDs (“whack-a-mole”).
- Cisco AI Defense analyzed roughly 31,000 ClawHub skills and found vulnerabilities in 26%. Cisco called personal AI agents like OpenClaw “a security nightmare”, citing the combination of broad system access and minimal default guardrails.
Sources: Bitsight (Feb 2026), Cisco Blogs, Reddit r/MachineLearning, Shodan/ZoomEye scans (Feb–May 2026)
Documented Security Vulnerabilities
Multiple vulnerabilities have been reported and patched. Transparency is a strength of the open-source model, but these incidents show why keeping OpenClaw updated is non-negotiable.
| Vulnerability | Description | Fixed In |
|---|---|---|
| GHSA-5wcw-8jjv-m286 | Cross-site WebSocket hijacking in trusted-proxy mode — unauthorized admin access from any website | v2026.3.11 |
| GHSA-99qw-6mr3-36qr | Implicit auto-loading of workspace plugins — cloned repos could execute arbitrary code without consent | v2026.3.12 |
| CVE-2026-25253 | One-click RCE (CVSS 8.8): a crafted URL exfiltrates auth tokens and hands an attacker full gateway control | v2026.1.29 |
| CVE-2026-44112 to 44118 (“Claw Chain”) | A four-vulnerability chain — sandbox escape (TOCTOU), command-validation bypass, and spoofed owner privileges — that lets an attacker go from initial foothold to credential theft, privilege escalation, and a persistent backdoor (up to CVSS 9.6) | v2026.4.22 |
Source: GitHub Security Advisories, NVD, The Hacker News (as of May 2026)
Known Threats in the Wild
- ClawHavoc — A purpose-built attack framework targeting OpenClaw deployments. Koi Security’s initial audit found that 341 of the 2,857 skills on ClawHub at that time (~12%, with 335 traced to a single coordinated ClawHavoc campaign) were contaminated with payloads capable of remote code execution and credential harvesting. By February 16, the absolute number had more than doubled to 824 malicious skills out of 10,700+ (~7.7%) as the marketplace grew. In response, OpenClaw partnered with VirusTotal to automatically scan every newly published skill on a daily basis.
- AMOS stealer — A macOS-focused infostealer distributed as trojanized OpenClaw skills. Once installed, AMOS silently exfiltrates Keychain credentials, crypto wallet seed phrases, and saved browser passwords. Cisco’s threat intelligence team documented AMOS campaigns specifically leveraging the OpenClaw skill ecosystem as a distribution channel.
- Memory poisoning — Injecting malicious instructions into conversation history to hijack agent behavior
- Supply chain attacks — Infiltration through malicious skills (plugins) on ClawHub. The ClawHavoc and AMOS incidents above are real-world examples of this attack vector at scale.
Sources: Bitsight Research, Cisco Threat Intelligence
The fact that Tencent provides an OpenClaw-specific scanner through AI-Infra-Guard (their AI red-teaming platform) tells you how seriously the security community takes these risks.
Agentic Blast Radius — Why It Is Worse Than Regular Malware
CrowdStrike coined a useful phrase for this class of risk: the Agentic Blast Radius. The idea is simple — when an autonomous agent like OpenClaw is compromised, the damage instantly spreads to every service it is connected to.
Traditional malware infects a single machine. A compromised OpenClaw, by contrast, can fan out to Slack, email, GitHub, your browser session, your shell, and even your smart home devices in one stroke. The reason I limit my own deployment to Slack only is precisely to shrink that blast radius — there is simply less surface for an attacker to cascade through.
Indirect Prompt Injection — When Documents Attack You
The other risk worth knowing about is indirect prompt injection. Instead of an attacker speaking to your agent directly, they hide malicious instructions inside emails, web pages, PDFs, or Notion documents. The moment your agent reads that content as part of a normal task, it executes the hidden commands.
CrowdStrike published a proof of concept where instructions embedded in a Moltbook note attempted to siphon assets out of a crypto wallet. In other words: just asking your agent to “summarize my emails” can silently trigger a transfer or data exfiltration if the wrong message lands in your inbox. This is exactly why least privilege (#3) is the primary defense, with DM policy (#4) serving as a useful supplement specifically when the attack arrives via DM.
Quick history — Clawdbot, Moltbot, and OpenClaw
If you research OpenClaw, you will run into the names Clawdbot and Moltbot. These are previous names of the same project — the renaming sequence was Clawdbot → Moltbot → OpenClaw. Older articles and security advisories may still reference the old names, so include all three in your searches when investigating historical issues.
6 Key Practices to Make OpenClaw Safe in 2026
Based on my daily experience running OpenClaw on a dedicated Mac mini, here are the six pillars of safe operation.
1. Use a Dedicated Environment
Top Priority — Never Run on Your Daily Driver
OpenClaw can access messaging channels, control browsers, and interact with your filesystem. Running it on your everyday computer exposes personal and work data to unnecessary risk. I learned this early and immediately moved to a separate machine.
- Recommended: Dedicated Mac — Best platform support and excellent TCC permission management (details below)
- Runner-up: Linux server — Isolation via Docker or Kubernetes works well
- Windows — WSL2 only; security boundaries become ambiguous
- Always maintain continuous backups — I use Time Machine plus cloud backup in parallel
2. Leverage macOS TCC Permission Management
Why Mac Is Best — OS-Level Permission Control
TCC (Transparency, Consent, and Control) is macOS’s privacy protection framework. It requires explicit user consent before any app can access the camera, microphone, screen recording, location, contacts, or photo library.
- OpenClaw’s macOS app exposes its TCC permission map via the Gateway WebSocket — you can monitor and control each permission individually
- How to configure: System Settings → Privacy & Security → Toggle OpenClaw access for each category
- Disable unnecessary permissions — a chat-only agent does not need camera or screen recording access
- Linux lacks a TCC equivalent; use containers or AppArmor as alternatives
3. Apply the Principle of Least Privilege to Agents
Least Privilege — One Agent, One Role
Instead of creating a single all-powerful agent, design multiple agents with role-specific, minimal permissions. This is the single most impactful security decision you can make.
- OpenClaw supports per-session permission controls
- Use
/elevated on|offto toggle bash access levels — I keep this set tooffby default and only flip it on for the specific tasks that need shell access - Multi-agent coordination via
sessions_list/sessions_send/sessions_spawn - My setup: Research agent (read-only) + Dev agent (file access) + Chat agent (messaging only)
4. Configure DM Policies and Pairing Correctly
External Access — Do Not Break the Defaults
By default, OpenClaw requires a pairing code from unknown senders. This is a critical security feature that you should never disable.
- Setting
dmPolicy="open"+"*"in the allowlist opens your bot to everyone — never do this - Run
openclaw doctorto detect risky DM configurations automatically - Pairing tokens are short-lived since v2026.3.12
- Disable connections to channels you do not actively use
5. Secure Your API Keys and Credentials
Credentials — Never Pass Keys in Plaintext
OpenClaw manages API keys for multiple LLM providers. Credential hygiene goes beyond OpenClaw’s own settings — this is the part that most general users underestimate.
- Use OAuth subscriptions and API key auth profiles with rotation and failover
- Never pass keys in plaintext — use environment variables or auth profiles exclusively
- Set proper file permissions on
.envfiles (chmod 600) - Rotate API keys on a regular schedule — I do this monthly
- Consider ClawVault or similar security vault integrations for enterprise-grade management
- I run a full daily backup with Acronis True Image, so even if a key file or config gets corrupted I can restore the entire machine to yesterday’s known-good state
6. Verify Skill (Plugin) Trustworthiness
Plugins — Useful but the Biggest Attack Surface
ClawHub hosted roughly 31,000 skills as of Cisco’s March 2026 audit (later reports through June 2026 range anywhere from ~13,700 to 44,000+, depending on how duplicates and forks are counted), but not all are safe. Plugins remain the primary vector for supply chain attacks against OpenClaw users.
- Implicit workspace plugin auto-loading was disabled in v2026.3.12 — explicit trust is now required
- Review source code and permission requests before installing any skill
- Use Clawbands (security middleware) to monitor skill execution at runtime
- Stick to skills from trusted developers and check for updates regularly
My personal policy: zero distributed skills. I write all of mine from scratch. Cisco AI Defense analyzed roughly 31,000 skills and found vulnerabilities in 26% of them — manually reviewing a marketplace at that scale is simply not realistic. The skills I actually run are an Obsidian sync and a few DB connectors — code I authored myself and fully understand line by line.
Attack Scenarios × Defense Mapping
Cross-referencing the six practices above with the actual attack types in the wild makes it easy to see which control is doing what work. In my own setup I aim to have at least one defense covering every attack path on this table.
| Attack scenario | Primary defense |
|---|---|
| Indirect prompt injection (email / web / PDF / Notion) | #3 least privilege (/elevated off) is the primary defense, plus restricting what content the agent can read. #4 DM policy only helps when the attack arrives via DM |
| Cross-site WebSocket hijack (GHSA-5wcw-8jjv-m286) | Patching (v2026.3.11+) + Origin validation as the primary defense. #2 TCC is a post-compromise blast-radius control |
| Malicious skills (Cisco’s audit: 26% of ~31,000 skills) | #6 skill review (in my case: zero distributed skills) |
| API key leakage | #5 auth profiles + chmod 600 + provider usage caps |
| Workspace plugin auto-load (GHSA-99qw-6mr3-36qr) | Update to v2026.3.12+ and require manual approval |
| Memory poisoning (conversation history tampering) | #3 least privilege + log review + session separation |
| Supply chain (ClawHavoc family) | #6 zero distributed skills + AI-Infra-Guard scans |
| Sandbox-escape chain (“Claw Chain”: CVE-2026-44112 and related) | Immediate update to v2026.4.22+ is the required defense. #1 dedicated environment limits blast radius if compromise occurs |
Sources: GitHub Security Advisories, Bitsight, Cisco Blogs, CrowdStrike, The Hacker News — compiled by the author (May 2026)
How to Check Whether Your OpenClaw Is Exposed to the Internet
Knowing that “30,000+ instances are exposed” is one thing — knowing whether your instance is one of them is another. Self-hosting means the responsibility to verify your exposure sits with you. Here is the routine I run on my own Mac mini.
Exposure check, step by step
- Local listening ports. Run
lsof -iTCP -sTCP:LISTEN -P -n | grep -i claw. The default OpenClaw port is 18789 — what you want to see is a bind on127.0.0.1, never0.0.0.0. - Router port forwarding. Log into your home router and check the UPnP and port-forwarding tables. If anything OpenClaw-related has been opened (intentionally or not), close it immediately.
- External reachability test. Switch your phone to mobile data (Wi-Fi off), then try to reach your home IP on the OpenClaw port. Any response means you are exposed.
- Third-party scanners. Bitsight’s Exposure Watchboard and Tencent’s AI-Infra-Guard both publish OpenClaw-aware scanners. Plug in your IP or domain to get an external view.
- Make it routine. OpenClaw ships frequent updates and behaviors can drift. I re-run this check roughly once a month.
For me the design choice is simpler: my Mac mini binds OpenClaw to 127.0.0.1 only, and the only path in is via Slack. There is physically no socket on the public internet to attack.
Role-Separated Agents in Practice — My 3-Agent Setup
The most useful thing I have done for least privilege is split my work across three single-purpose agents. A single all-powerful agent means a single compromise = total breach. Splitting roles caps the blast radius.
1. Research agent
Role: Web search, summarization, lookups
Honestly takes some prompt-engineering iteration to get reliable results — without careful setup it tends to wander. It has no write capabilities of any kind.
2. Dev assistant
Role: Code help and file operations
Runs with /elevated off as the default. Shell access is granted explicitly per task and revoked the moment that task is done.
3. Chat responder
Role: Replying inside Slack
Locked to a specific Slack channel. Other channels and DMs are off-limits at the configuration level — not just by convention.
This is less a textbook best practice and more a pragmatic decision: if any single agent gets compromised, the damage is contained to roughly a third of my workflow. As a side benefit, reviewing logs after the fact is much easier when responsibilities are not tangled together.
Are the Built-in Security Checks Just “Security Theater”?
OpenClaw ships with openclaw doctor for configuration diagnostics and browser origin validation (since v2026.3.11). These are genuinely useful — but they should be treated as a baseline, not a guarantee.
openclaw doctor run on my Mac mini. Most of the warnings I see come from config drift after frequent version bumpsIn my own use, openclaw doctor raises warnings fairly often. The cause is almost always the same: OpenClaw ships frequent updates, and old config fragments from earlier versions stop matching the current schema. My rule is simple — when a security advisory (GHSA or otherwise) drops, I update immediately, no exceptions. That single discipline is the one I refuse to compromise on.
openclaw doctorcatches configuration issues but cannot prevent malicious runtime behavior- Origin validation stops WebSocket hijacking but not all attack vectors
- Security is about operational discipline, not just features — do not become complacent because a tool says “all clear”
- Regular updates are your best defense — security patches are released frequently, and falling behind is the biggest risk of all
My Production Setup — OpenClaw Dangerous Concerns Addressed
Here is how I actually run OpenClaw day-to-day. This setup has been stable for months and addresses every OpenClaw dangerous concern I have encountered.
My Current Configuration (April 2026, ~1 month of operation)
Dedicated hardware
Mac mini M2 Pro 32GB, running OpenClaw exclusively. It is a hand-me-down — the machine I freed up when my main rig moved to a Mac Studio — so the marginal cost was zero. Fully isolated from my daily-driver Macs.
Always-on, single channel
The Gateway runs as a LaunchAgent. The only messaging channel I have connected is Slack — WhatsApp, iMessage and the rest stay disconnected so the attack surface is as small as possible.
Daily backups
Acronis True Image takes a full daily image of the entire machine. If a config gets mangled or an update breaks something, I can restore yesterday’s known-good state in one step.
LLM and cost
Backed by Azure OpenAI. Monthly API spend has settled around $50.
- Agent separation: Research / dev assistant / chat responder (see the previous section)
- Skills: Zero distributed skills — everything I run is hand-written (Obsidian sync, DB connectors)
- Permissions:
/elevated offis the default; shell access is opt-in per task - Updates: Security advisories are applied the same day they drop. No exceptions.
- Sensitive data: Anything truly sensitive simply does not live on this Mac mini in the first place.
One month is short, but the design choices are deliberate. Going dedicated from day one meant my work machine was never in the loop, and reusing the Mac mini I already had made the experiment cost nothing. So far there have been no scary incidents — and I want to be clear that this is the result of locking things down on purpose, not luck.
FAQ — Is OpenClaw Dangerous? Common Questions Answered
Is OpenClaw malware?
No. OpenClaw is MIT-licensed open source software with its complete source code on GitHub. The risk comes from misconfiguration and excessive permissions, not from the software itself. Thousands of developers review and contribute to the codebase.
Is running OpenClaw in Docker enough to be safe?
Container isolation via Docker is a strong security measure and a great starting point. However, improper volume mounts or wide-open network settings can negate the isolation entirely. Apply the principle of least privilege inside the container as well — do not mount your entire home directory, and restrict outbound network access to only what is needed.
Are ClawHub skills safe to install?
As of Cisco’s March 2026 audit, ClawHub hosted roughly 31,000 skills (later counts through June 2026 vary widely, from ~13,700 to 44,000+, depending on methodology), but not all are vetted — Cisco AI Defense found vulnerabilities in 26% of the skills it analyzed. Always review the source code and permission requirements before installing. Since v2026.3.12, workspace plugin auto-loading is disabled — you must explicitly trust each plugin. Stick to well-known developers and check the skill’s issue tracker for red flags.
Could my personal or business data leak through OpenClaw?
Yes, if you are careless. Data sent to LLM providers (OpenAI, Anthropic, etc.) leaves your machine. For sensitive information, use a local LLM like Ollama. Proper API key management and minimal agent permissions significantly reduce leakage risk. Never give a chat-response agent access to files it does not need.
How often should I update OpenClaw?
As soon as security patches are available. The project releases fixes frequently — check the release notes at least monthly and update immediately when security advisories are published. Running an outdated version is the single easiest way to make OpenClaw dangerous. The May 2026 “Claw Chain” disclosure (CVE-2026-44112 and related, fixed in v2026.4.22) is a good example of why: several individually moderate bugs chained together into a critical full-takeover path.
Can a general (non-technical) user run OpenClaw safely?
Honestly, it is a stretch. Safe operation requires not just OpenClaw configuration but also environment backups, credential rotation, and network hardening. These are tasks that demand IT literacy. If you have a technically skilled friend or colleague, they can help you set it up. Otherwise, start with Docker on a non-critical machine and build your comfort level gradually.
Why do you recommend Mac over Linux or Windows?
macOS’s TCC (Transparency, Consent, and Control) framework gives you OS-level permission gating that no other desktop OS matches. You can deny OpenClaw access to camera, microphone, screen recording, and more with a single toggle. Linux is a close second with container isolation, but lacks TCC’s granularity. Windows via WSL2 has ambiguous security boundaries that I do not trust for always-on deployments.
Are there safer alternatives to OpenClaw?
If security is your top priority, Claude Code (Anthropic) and Cursor‘s agent mode are strong alternatives. Both operate within tighter sandboxes and require explicit permission grants for system-level actions, though they are less autonomous than OpenClaw in multi-channel scenarios. NanoClaw, a lightweight Docker-native fork of OpenClaw, is another option that strips out the broader attack surface while keeping core assistant functionality. I personally use Claude Code alongside OpenClaw depending on the task — Claude Code for coding workflows where I want strict guardrails, and OpenClaw for cross-platform messaging automation where its channel integrations are unmatched.
Is OpenClaw the same project as Clawdbot or Moltbot?
Yes — same project, different names. The renaming sequence was Clawdbot → Moltbot → OpenClaw. Older articles, security advisories, and search results may still reference the legacy names, so when you investigate historical issues it is worth searching for all three. They all describe the same codebase.
How do prompt injection attacks actually happen?
There are two flavors. Direct prompt injection is when an attacker speaks to your agent directly. The trickier one is indirect prompt injection: the attacker hides instructions inside an email body, web page, PDF or Notion page, and your agent executes them the moment it reads that content as part of a normal task. Asking your agent to “summarize my inbox” can silently trigger transfers or exfiltration. Least privilege and a strict DM policy are your direct defense — both are covered earlier in this guide.
How do I check whether my OpenClaw instance is exposed to the internet?
Start with lsof -iTCP -sTCP:LISTEN -P -n | grep -i claw to see which port OpenClaw is binding to. You want to see 127.0.0.1, not 0.0.0.0. Next, check your home router for any port forwarding or UPnP entries that touch OpenClaw, and finally test reachability from your phone on mobile data (Wi-Fi off). For an external view, Bitsight Exposure Watchboard and Tencent AI-Infra-Guard both publish OpenClaw-aware scanners. Full step-by-step is in the “How to Check Whether Your OpenClaw Is Exposed” section above.
Can I run OpenClaw safely on Linux or Windows?
Yes, but you need to put in extra work compared to macOS. On Linux, the realistic path is Docker or Podman for container isolation combined with AppArmor or SELinux. Windows is limited to WSL2, which means you are essentially using the Linux approach inside WSL. Without a TCC-equivalent for OS-level privacy gating, container boundaries have to do all the heavy lifting — design them carefully, and prefer a dedicated VPS over your daily workstation if you go the Linux route.
OpenClaw Dangerous? — Conclusion
OpenClaw is not a “dangerous tool” — it is an incredibly powerful one that demands respect
Whether it is safe or OpenClaw dangerous depends entirely on your setup.
Follow the four pillars — dedicated environment + least privilege + credential management + continuous backups — and you will have the most capable AI assistant available, integrating 20+ channels with confidence.
The barrier to safe operation is real, but for those willing to invest the effort, the payoff is enormous.
If I had to rank the controls that have actually mattered most during my first month of running OpenClaw, the order is short: (1) keep updating — security advisories get applied the same day, no exceptions; (2) be paranoid about distributed skills — I run only the ones I write myself; (3) keep anything truly sensitive off the machine entirely; and (4) take backups seriously — Acronis True Image, full daily image. Stick to those four and the gap between “OpenClaw dangerous” and “OpenClaw useful” closes quickly.
For step-by-step installation instructions, see our companion guide:
👉 How to Install OpenClaw — macOS, Linux & Windows Guide (2026)
After installation, configure OpenClaw properly with our OpenClaw Setup Guide.
Official site: openclaw.ai
Author
krona23
Over 20 years in the IT industry, serving as Division Head and CTO at multiple companies running large-scale web services in Japan. Experienced across Windows, iOS, Android, and web development. Currently focused on AI-native transformation. At DevGENT, sharing practical guides on AI code editors, automation tools, and LLMs in three languages.
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