We accelerate development work with assistants that reduce repetitive tasks and shorten the learning curve.
WHAT WE SOLVE
We eliminate time wasted on repetitive coding tasks and reduce the learning curve for new technologies, allowing developers to focus on business logic while AI boilerplate and suggests optimized implementations.
We integrate code assistants into the team's IDEs, configure fine-tuned models with the company's best practices, and establish flows where developers describe functionalities in natural language that are automatically translated into reviewable code.
WHAT TECHNOLOGY WE USE
At TIMIA adapt to your technological environments and work with the tools your company already uses. Our team is proficient in leading technologies such as GitHub Copilot, Amazon CodeWhisperer, OpenAI Codex, Cursor, customized LLM models (GPT-4, Claude), embedding tools for proprietary code, and integration APIs with VSCode, IntelliJ, and other IDEs.
FAQs
AI-assisted development enables companies to deliver software faster, at lower cost, and with greater consistency. At Timia, we help transform development capabilities into a competitive advantage, reducing delivery times and freeing up teams to focus on initiatives that directly impact revenue and efficiency.
Copilots automate repetitive tasks and speed up standard code writing, increasing productivity without increasing headcount. This allows organizations to absorb more demand, reduce bottlenecks, and optimize investment in talent.
By reducing friction in development and the learning curve, AI delivery cycles. Companies can launch products and features ahead of their competitors, test ideas faster, and better adapt to market needs.
AI the way code is written and automatically documents technical knowledge. This reduces dependence on critical profiles, facilitates onboarding, and ensures operational continuity even in the face of talent turnover.
TIMIA copilots with governance, standards, and control, aligned with business objectives. We refine the models with the company's best practices and establish clear flows where AI , but decisions remain human. The result is sustainable productivity, quality, and control.
