Food for thought.
Reflections on some of our cases, research on cutting-edge tech & experienced takes on design, development and business.
Reflections on some of our cases, research on cutting-edge tech & experienced takes on design, development and business.

Fara 7B is part of a new class of compact agentic models designed for real computer use. It can interact with operating systems, open and edit files, click through interfaces, and run software tasks with high reliability. Because it is lightweight and optimized for local execution, it enables teams to build practical desktop assistants that automate everyday workflows without needing large servers or cloud infrastructure. This article shows how to create custom assistants for email tasks, file management, and multi step automation, all based on capabilities that Fara 7B actually supports.

Zerve is an AI native development platform that treats software workflows as programmable and reproducible units. Instead of acting as another AI coding assistant that only edits files, Zerve provides a complete environment that captures the full lifecycle of code, experiments, data, infrastructure, and deployment logic. This approach is closer to an operating system for engineering workflows than to a traditional IDE or notebook tool. Where most developer tools automate isolated steps, Zerve automates the connective tissue across an entire project. It focuses on three pillars that are difficult to solve with conventional stacks: controlled environments, reproducible results, and unified operational logic.

Data engineering is one of the technical areas that benefits the most from agentic AI. Traditional code assistants can speed up small tasks, but they usually fall short when the workflow spans full pipelines, multi step transformations, schema evolution, infrastructure interactions, and operational debugging. Windsurf takes a different approach by understanding repositories end to end and executing complex tasks in the same way a real engineer would. This article explores how data engineers can use Windsurf to build and maintain pipelines, ETL processes, notebooks, and automation scripts with more speed, consistency, and reliability.

AI coding assistants have become a core part of modern software development, and Tabnine has emerged as one of the most reliable tools for teams that want speed, consistency, and strong data protection. As the demand for secure AI development workflows increases, many companies look for an assistant that improves productivity without sending private code to external servers. This is the area where Tabnine stands out.

Google Antigravity is an AI assisted integrated development environment designed around autonomous agents instead of simple autocomplete suggestions. Announced together with the Gemini 3 model family, it introduces a development workflow where agents can plan, execute, and evaluate tasks across the editor, terminal, and an integrated browser. This positions Antigravity as one of the first truly agent first IDEs built to support end to end coding missions.

Nano Banana Pro is Google’s latest high performance model for image generation and visual editing. It offers high resolution output, detailed creative controls, accurate text rendering inside images, and strong reasoning capabilities for diagrams, layouts, and structured visuals. The model is designed for creators, technical teams, designers, educators, and anyone who needs consistent and high quality graphics at scale.

Claude Opus 4.5 is Anthropic’s newest flagship model and represents a major step forward in coding performance, reasoning depth, computer use, and multi step automation. Designed for high complexity tasks, the model introduces improvements in accuracy, efficiency, and tool interaction that make it suitable for advanced engineering and enterprise workflows.

The AI landscape has been dominated by massive language models, but a new frontier is emerging. Compact, efficient, on device agents are becoming central to automation, and Fara-7B is one of the most compelling examples. Developed by Microsoft Research, Fara-7B is an open weight computer use agent model with only 7 billion parameters, yet capable of automating real web based tasks, interacting with UI like a human using mouse and keyboard, and delivering performance that rivals much larger systems. Below we explain what Fara-7B is, how it works, its main strengths and limitations, and why it is relevant for companies, developers, and teams exploring efficient AI automation.