Stop writing boilerplate code by hand and let AI generate production-ready code in seconds, so your development team ships features faster and spends less time on repetitive coding tasks.
GitWit is an AI code generation tool that transforms how your development team writes software. Instead of manually typing out repetitive code patterns, database queries, API integrations, and standard functions, developers describe what they need in plain language and GitWit generates tested, production-ready code. For small software companies and development agencies, this means taking projects that normally take weeks and compressing them into days—directly reducing labor costs and improving project margins.
The tool integrates directly into your existing development workflow, working with popular programming languages and frameworks. Your team stays in control of every generated line of code through a review-and-edit interface, but the heavy lifting of scaffolding, boilerplate generation, and pattern matching happens automatically. This is particularly valuable for startups and small agencies billing by the hour or managing fixed-price contracts—fewer billable hours spent on grunt work means more profit per project or faster delivery to clients.
Software development agencies, SaaS startups, custom development shops, web development firms, mobile app studios, and in-house dev teams at small businesses. Especially valuable for companies with tight deadlines, fixed-price contracts, or limited senior developer capacity.
Currently in beta with free access. Pricing structure for commercial release has not been announced.
For a small development team billing $150/hour, reducing time spent on boilerplate code generation by 10-15 hours per week translates to $1,500-$2,250 in recovered billable hours weekly, or $78,000-$117,000 annually per developer. Agencies can either reinvest this time into higher-value client work, take on more projects with the same headcount, or improve project profitability by 15-20%. Development cycles compress significantly—projects that took three weeks now complete in two, improving cash flow and client satisfaction while reducing the risk of scope creep and timeline overruns.