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Most AI coding tools have a weird hidden cost: They use an LLM to decide what another LLM should do next. That means you are spending tokens on routing, not just on the actual coding. I built RedQueen to flip that model. RedQueen is an open-source, self-hosted orchestrator for AI coding agents. Inst
The Token Tax Problem: How I Built a Super Memory Layer for AI Coding Assistants We Solved the Wrong Problem First When AI coding assistants arrived, we celebrated. Faster delivery. Less repetitive work. Developers doing more meaningful things. Then the invoices arrived. Token utilization had quietl
ServiceNow built its reputation on automating business workflows, but today, the company calls itself “the AI control tower for business The post Developers will use whatever AI coding tool they want. ServiceNow is building for that reality. appeared first on The New Stack.
The Association for Computing Machinery‘s (ACM) Technology Policy Council (TPC) has a message for organizations riding the vibe coding wave: The post “AI systems do not understand”: New report flags systemic failures in AI coding appeared first on The New Stack.
The Problem If you're like me, you live in your terminal. You've got Docker containers running for databases, Redis instances for caching, microservices doing their thing — and you're constantly context-switching to check on them. # The old way: docker ps docker logs my-app -n 50 docker stats docker
Have you ever spent 20 minutes looking for a conversation you had with Cursor last week? The one where it helped you fix a tricky async bug—and now you're facing the same issue in a different project, but can't find that thread anywhere? This isn't a user error. It's a structural limitation in how C
If you've tried to follow any AI coding discussion in the last six months, you've probably felt like everyone suddenly started speaking a dialect you never signed up to learn. "Vibe coding." "Agentic workflows." "Context windows." "Prompt engineering." The jargon is multiplying faster than JavaScrip
Every time you paste a log file into Cursor, or ask Claude Code to debug ContextDuty is a local-first context firewall. It sits between your files Demo link - https://asciinema.org/a/uouCCzZe7UkbomNM (vibecoded on friend's laptop) pip install contextduty It also runs as an MCP server — so Cursor, VS
The aviation industry has a term that should terrify every developer leaning on AI coding tools: automation complacency. Pilots figured out decades ago that the more you rely on autopilot, the worse you get at actually flying the plane. And when the autopilot fails — because it always eventually doe
The problem nobody talks about AI coding agents write code fast. Too fast. Within a few sessions you end up with: Utility functions calling into feature modules Feature logic embedded in CLI entry points Circular dependencies 3 layers deep Database clients instantiated inside pure functions No linte
AI coding agents have become surprisingly capable at generating frontend code. In isolated tasks they often perform well, but once you try to plug them into a real design workflow — especially one based on Figma — the results tend to degrade. What I kept running into wasn’t really a limitation of th
TL;DR AI coding agents fail on large codebases because they lack structured context about how the system actually works. The industry has converged on three tiers of solutions: static context files (AGENTS.md, .cursorrules), retrieval-augmented generation (Sourcegraph Cody, Continue.dev), and persis
Hey DeepLearning.AI community I’m victordeflos — solo founder building EvoAgent (evoagent.io), an AI coding partner that learns and evolves through user feedback. What EvoAgent does differently: The long-term mission is V5 — a fine-tuned model trained entirely on real user interactions. Not a GPT wr
Vercel has launched Open Agents, an open-source app that enables the creation and execution of background coding agents. It provides a complete stack for developers to run independent coding workflows without relying on local machines. By Robert Krzaczyński
Most "AI agent" articles list frameworks for building agents. This isn't that. Using an AI coding agent and building one are completely different problems. Using one means file system access, real test suites, actual PRs, production config files. The bar is higher than "it autocompletes well." I've
I let an AI coding agent loose inside a real codebase, and yeah, it was impressive for about five minutes. Then the weird stuff started. A clean refactor broke auth, renamed things no one asked for, and quietly added a cost line item nobody mentions in demos. But it also saved hours on boring edits,
Bringing AI agents into the enterprise software development lifecycle is fast becoming the norm. As developers experiment with new platforms, organizations are exposed to potential security and orchestration failures. Systems that work in pilots may fail once the agents start working with real-time
“Developer loyalty is at zero right now,” Richard Seroter, Google Cloud’s Senior Director and Chief Evangelist, told The New Stack The post “Developer loyalty is at zero right now”: Google doesn’t care which AI coding tool you use appeared first on The New Stack.
The rumors were true: GitHub announced today that it’s overhauling how it charges for Copilot, shifting to a usage-based billing The post GitHub moves Copilot to usage-based billing as AI coding costs climb appeared first on The New Stack.
Late at night, writing code, I had a sudden realization: the experience of building with AI (LLMs) maps almost perfectly onto the foundational principle of alchemy from Fullmetal Alchemist — Comprehension, Deconstruction, Reconstruction. The current paradigm shift in AI development can be told as th
