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Shariq Khwaja is a Melbourne-based Fractional CTO and AI Engineering advisory service for founders and technical leaders in AU/APAC. It is not a traditional self-serve AI tool; instead, it focuses on rebuilding engineering delivery around “AI-native delivery.” It steps in when a platform has been stalled for too long, architecture is slowing down delivery, technical storytelling is needed before fundraising, or a team is using AI coding tools but has lost control over review, security, and governance.
Based on the site content, its AI capabilities are not centered on any particular foundation model. Rather, AI is applied to engineering control points: PR risk classification, automated code review, continuous security scanning, architecture review, release notes, CI guardrails, convention specs, and more. The examples mention workflows involving GitHub PRs, CodeRabbit, CodeQL, Playwright, Linear, E2E/API testing, and related tooling. The goal is to let low-risk changes move quickly while ensuring high-risk changes receive deeper scrutiny. On the security side, it covers Web, Mobile, API, Cloud, and Infra, using multiple types of agents to track issues such as dependency vulnerabilities, authentication, cloud permissions, secrets, IAM, and more.
Pricing is disclosed fairly transparently: AI delivery infrastructure starts from USD 30,000 with a 2–3 month timeline; audits, technical assessments, or investor preparation are offered at a fixed price of USD 10,000; delivery recovery costs USD 16,000/month and usually runs for 3–6 months; Fractional CTO work is USD 16,000/month for longer-term engagements; the day rate is USD 2,500. The page does not specify payment methods, taxes, contract terms, or a free trial, and only offers a 30-minute consultation.
The main strength is its clear positioning: AI is not framed merely as “writing code faster,” but as a way to improve the full delivery loop, including review, security, architecture, and release governance. The case experience spans fintech, SaaS, BaaS, GDPR/ISO 27001 architecture, and data systems, making it suitable for complex, high-risk projects. The drawbacks are also clear: this is not a standardized SaaS product, and outcomes depend heavily on the individual consultant’s capability, depth of project access, and availability. The site currently indicates capacity for only one new engagement. It also does not disclose the underlying models used, data privacy policy, SLA, or Chinese-language support.
It is best suited to startups that already have an engineering team but whose delivery process is out of control; founders who need technical due diligence materials before fundraising; companies that are not yet ready to hire a full-time CTO; and small teams looking to integrate AI into engineering governance. The page does not specify access or payment availability for users in China, so this should be treated as unknown. For cross-border collaboration, users would still need to confirm video conferencing, contracts, payments, code access, and data export requirements. If you only need tools, a combination of Copilot, CodeRabbit, CodeQL, Playwright, Linear, and similar products may be enough. If you need organization-level implementation, you may need to look for a local CTO advisor or engineering productivity consulting team.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on shariq.me official site.
shariq.me is an Australia AI Apps provider. TG4G tracks its product information, with monthly pricing from $10,000.00, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach shariq.me directly.