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’...
What Went Wrong with the AWS Outage
The massive outage in Amazon Web Services’ US-EAST-1 region was traced to a race condition in the DNS automation of the DynamoDB service. An empty DNS record and automation failures propagated across multiple AWS services, disrupting dozens of major websites and apps. Read more: Network World article Engineering Leaders on...
What I’ve Learned from Talking to Top Engineering Leaders in 2025
Engineering execs share insights on AI adoption, scaling distributed teams, and the tradeoffs of speed vs stability. If you want to read more, click here. What Engineering Managers Need to Know for 2025 Shifting expectations for managers: agentic systems, memory-aware AI tools, and new skills for team leadership.If you want...
GPT-5 for Developers —
OpenAI’s newest API models (gpt-5, mini, nano) focus on stronger coding and agentic tool-use with clear migration notes.Read more: https://openai.com/index/introducing-gpt-5-for-developers/OpenAI Realtime API (gpt-realtime) GA launch adds better speech-to-speech, SIP calling, image inputs, and remote MCP servers for production voice agents.Read more: https://openai.com/index/introducing-gpt-realtime/OpenAI LLM Evaluation at Booking.com A practical playbook: strong-model...