The latest Technology Radar highlights how Generative AI is permeating every layer of software engineering — from coding assistants to observability and data workflows. It also introduces evolving patterns like LLM-aware architectures, data product thinking, and advanced RAG techniques. A must-read for aligning technology bets with industry direction.Read more: https://www.thoughtworks.com/radar...
Beyond ChatGPT: How GenAI Is Transforming EdTech Platforms in 2026
(A 2–5 minute read) When generative AI first entered education, most attention was on the interface. Students used AI tools to draft answers. Educators experimented with automated explanations. The impact felt immediate, but largely individual. In 2026, the real transformation is happening inside platforms, not just at the user layer....
AI Is Upending Marketing on Two Fronts
AI is transforming marketing not just by automating tasks but by reshaping strategy and customer experience. On the analytical side, predictive models are enabling marketers to forecast behavior with unprecedented precision; on the creative side, generative AI is driving personalized messaging at scale. The result: marketing organizations must rethink team...
AI Copilots Are Everywhere. But Who’s Driving the Workflow?
In many organisations today, AI copilots are becoming common. They draft emails, summarise documents, answer questions, and even suggest next steps. On the surface, it looks like work should be moving faster. Yet when you look closely at day-to-day operations, very little has actually changed. Tasks still wait for approvals....
OpenClaw — The Open-Source Agent Framework Reshaping AI Workflows
MoltBot is rapidly becoming one of the most interesting open-source frameworks for building production-grade agent systems. It supports tool-calling, memory modules, safety hooks, and multi-step reasoning out of the box — making it easier to move from prototype to reliable automation. A strong indicator of where agent frameworks are heading...
From Manual Follow-Ups to Intelligent Workflows: What Actually Changes
In many organisations, workflow delays are rarely caused by system failures. They are caused by uncertainty. A task is completed, but the next step does not move forward because no one is entirely sure who needs to act next, where the request is sitting, or whether it has already been...
Why AI Projects Stall After the Pilot Phase
In many organisations, AI pilots don’t fail. They simply stop moving. The pilot runs successfully, results are shared internally, and the initiative is labelled a success. Yet months later, the AI solution is still not part of day-to-day operations. Teams continue working the same way they always have, and the...
Best of Nibbles 2025
A Curated Collection of Articles That Will Stand the Test of Time Every month, Nibbles attempts something simple and deceptively hard:to curate articles that are worth your time. Not trending.Not loud.Not driven by the algorithm of the week. As the year comes to a close, we found ourselves asking a...
The Automation Trap: Why Most Companies Automate the Wrong Things First
A few months into an automation initiative, the same question starts circulating quietly inside organisations:“Why are we automating so much, yet seeing so little change?” Dashboards look better. Tools are in place. But workflows still stall, teams still intervene manually, and exceptions still pile up. The promise of automation feels...
Inside GitHub’s New Code Search Engine
GitHub has rolled out major improvements to its search backend — rewritten in Rust with Zing indices and near-instant streaming search across massive repos. This upgrade dramatically improves cross-repo discovery, regex support, and monorepo developer experience. Read more: https://github.blog/engineering/architecture-optimization/the-technology-behind-githubs-new-code-search/ What is the future of platform engineering? Focus on the ‘Why’...





