January 2026 Summaries

The recent AI developer meetup, which attracted over 350 signups, marked the first content-centric event since AI Engineer Paris 2025, focusing on the theme of coding agents. Speakers from Koyeb, OpenAI, and LangChain presented on topics ranging from agent-driven code generation to sandbox execution and reliability. Jen Person from Koyeb discussed her experience with a Lovable clone app, emphasizing the importance of sandboxed environments like Koyeb Sandboxes to safely experiment with AI-generated code. Marco Perini from LangChain illustrated the evolution from traditional AI agents to Deep Agents, highlighting how leveraging filesystems can enhance agent reliability and performance. VB Srivastav from OpenAI introduced Codex, demonstrating its capability to accelerate coding workflows by generating, completing, and refactoring code, while also addressing best practices for effective prompting. The event underscored the significance of community engagement and collaboration in advancing AI development practices.

NVIDIA RTX Pro 6000, H200, and B200 GPUs are now available on Koyeb's serverless platform, offering high-performance computing for memory-bound, latency-sensitive, or throughput-constrained workloads such as long-context and large-model serving. The GPUs, ranging in price from $2.20/hr to $5.50/hr, are billed per second, enabling users to build, experiment, and autoscale without the need for infrastructure management. The RTX Pro 6000 is suitable for AI-driven rendering and analytics with 96 GB of VRAM and FP4 support, while the H200 offers 75% more GPU memory than its predecessor for large-scale AI models. The B200, with 180 GB of HBM3e memory and 8 TB/s bandwidth, is designed for ultra-large model inference. Koyeb's platform allows easy deployment through a one-click catalog, pre-built containers, or GitHub integration, providing a scalable and cost-efficient environment with built-in observability and reactive autoscaling. Recent expansions include a 24% price reduction and increased GPU stock, underscoring Koyeb's commitment to accessible AI infrastructure.

Strapi Cloud, an open-source headless CMS, has partnered with Koyeb to enhance its infrastructure capabilities, focusing on performance and cost-efficiency to support a rapidly growing user base. By leveraging Koyeb's serverless, multi-tenant infrastructure, Strapi Cloud can deploy and scale efficiently, maintaining a seamless experience for developers worldwide while eliminating operational overhead. This collaboration allows Strapi to offer a robust free tier, utilizing automatic scale-to-zero features to optimize resource usage and sustain cost-effective operations. The integration has enabled Strapi to focus on innovation and product development, confident in a reliable, high-performance infrastructure that provides secure, fast access to users globally.

In 2026, as AI models increasingly autonomously produce and deploy code, developers are tasked with safely executing this code, leading to the rise of sandboxes as a critical component of modern development infrastructure. Sandboxes are secure, network-isolated environments that facilitate the safe testing, validation, and monitoring of code, preventing risks to production systems. These environments are essential in reinforcement learning pipelines, allowing AI agents to generate and run code without cross-contamination, and in web interactions where they ensure secure automation and data-gathering processes. Continuous Integration and Delivery (CI/CD) systems also utilize sandboxes to verify code changes in isolated environments, ensuring reproducibility and security. Koyeb is highlighted as an ideal platform for sandboxing due to its serverless containers, strong isolation, integrated CI/CD hooks, and pay-per-use pricing, making it effective for AI-generated code execution from prototype to production. Other platforms like E2B, Daytona, Cloudflare Workers, and Modal are also mentioned, each offering unique benefits and limitations, but Koyeb is emphasized for its comprehensive, secure, and scalable approach to running AI-generated code.

In 2025, Koyeb made significant advancements in serverless AI infrastructure by launching several new features and partnerships aimed at enhancing AI deployment experiences. The company introduced Koyeb Sandboxes for cost-effective, secure, and scalable AI environments, as well as light sleep scale-to-zero technology, enabling faster VM wake times. They released the Koyeb MCP Server for natural language interaction with resources and Tenstorrent Cloud Instances for diverse hardware support. Koyeb's one-click deploy catalog expanded to include hundreds of AI models and applications, alongside a serverless GPU price reduction to optimize costs. New authentication features and TCP proxy capabilities were also unveiled, broadening the platform's utility for developers. The company's Partner Hub highlighted collaborations with notable companies, while numerous community events fostered engagement within the AI engineering sector. Looking ahead, Koyeb is poised to continue innovating in AI infrastructure, with a focus on performance, cost efficiency, and user-friendly deployments.

AI applications rely on high-performance infrastructure, specifically serverless GPUs, to efficiently run tasks such as model fine-tuning, real-time inference, and deploying AI agents. Platforms like Koyeb, Modal, RunPod, Baseten, and Fal offer diverse serverless GPU solutions tailored to different AI workloads, each with unique features and pricing structures. Koyeb provides global deployment and cost-efficient scaling, while Modal offers SDK-based infrastructure management, best suited for new AI projects. RunPod allows for flexible instance access but may incur higher costs for extensive deployments. Baseten excels in low-latency model serving, whereas Replicate focuses on developer experience but limits workload flexibility. Fal is optimized for generative media with a focus on real-time inference but can be costly for large-scale applications. Selecting the right platform is crucial to optimizing performance and cost for AI applications, allowing organizations to focus on delivering value to users worldwide.

The article evaluates managed PostgreSQL databases with free tiers available for use in 2026, focusing on solutions that integrate seamlessly with the Koyeb platform. It discusses various providers, including Koyeb, Neon, Aiven, Crunchy Data, Supabase, ElephantSQL, and Timescale, highlighting their supported versions, global deployment locations, and specific free tier offerings. Each provider presents unique features such as serverless operation, branching, integrated monitoring, and open-source support, while considerations like backup automation and rollback feasibility are emphasized for choosing the right database. Koyeb stands out for its ability to deploy full-stack applications and databases on a unified platform, offering a streamlined experience with features like auto-sleeping databases, logical role management, and extensive PostgreSQL extension support. The article underscores the importance of assessing backup frequency, retention, and rollback ease to align with project needs and encourages exploring integration guides for connecting these databases to applications hosted on Koyeb.