Gautam V.·19h agoAI-Accelerated Engineering (Part 2): SDLC using KBASInstall @ai-kbos/kbas-kit, onboard an e-commerce microservice workspace, and explore the new docs site and project dashboard in v3.1.6.A response icon1A response icon1
Vasil Manolov·1d agoHow software engineering is changingAI. Like it or not, it will be the centrepiece of this essay, as it clearly represents the biggest change in our industry since I joined it…
Arvind Kumar·2d agoBefore I Write a Line of Code, I Argue With Claude About the ProblemUsing Claude for problem framing, lightweight design decisions, and design critique — and where it’s most likely to quietly mislead you.
Abhinit Saxena·Oct 27Beyond a Single Repository: Can Knowledge Graphs Improve AI-Assisted MuleSoft Development?A response icon1A response icon1
InThe Leading IndicatorbyLucas McGregor·Oct 26Don’t Use Agents as Virtual EmployeesDesign for the work, not the rolesA response icon8A response icon8
Krzysztof Kruk·Oct 19And then there were only cats and dogs…This article is a bit more philosophical. Why do we automate everything? And if we’ve already automated so much, why do we still feel…
Sergii Kravtsov·Oct 7A New Salesperson Ramps Faster with AI-assisted Wiki FolioWhen Every Answer Has a SourceCited answers, rules the manager sets, and a to-do list of what your docs are missing
Andrei Paraschiv·Oct 7I Built a ZX Spectrum Remake in 3 Weeks Without Writing a Single Line of Code.A 1987 classic, a stack of specs and a team of AI agents: an honest retrospective
Thejaswini Ramachandra·Oct 4From AI Assisted to AI Native Software EngineeringHow context, specs, knowledge graphs, loop engineering, and evals turn AI coding into a repeatable engineering practice.
