A founder who relies on an AI agent to write most of the code for a multi-tenant B2B product describes a nine-phase pipeline with guardrail hooks, three AI reviewer personas, and a seven-check gate wa…
Boris Cherny, who runs Claude Code, told Business Insider in May that the phrase 'vibe coding' had started to annoy him, and he proposes 'AI-driven development' (AIDD) as a more precise name for build…
According to the DORA 2025 report, AI adoption amplifies existing engineering strengths and weaknesses, with stability declining for all teams as throughput rises. Developers using AI daily produce ro…
Search interest in 'agentic engineering' has surged relative to 'vibe coding,' narrowing the gap from 30-to-1 in July 2025 to roughly 2.5-to-1 by June 2026, according to Google Trends data analyzed by…
The Agentic AI Hub offers guided learning paths from basic AI concepts to running custom agents, featuring insights from experts like Dan Shapiro, Simon Willison, and Andrej Karpathy. The resource is …
A May 2026 Google whitepaper titled 'The New SDLC With Vibe Coding' argues that the software lifecycle retains its phases but shifts the bottleneck from writing code to specifying, verifying, and judg…
Martin Richards argues that the most important part of an agent harness is the content users add on top, not the runtime itself. Drawing on Viv Trivedy's formula Agent = Model + Harness, Richards sepa…
Loop engineering, a term coined by Addy Osmani in June 2026, is replacing prompt engineering as the dominant paradigm for coding agents, shifting focus from prompting models to designing autonomous lo…
The /goal function in OpenAI's Codex has shifted the author's understanding of AI-assisted coding from prompting an AI step-by-step to setting up autonomous loops where a system works until evidence s…
A developer argues that loop engineering, while useful for rapid prototyping, is not a production strategy and should be distinguished from the software development lifecycle (SDLC). The post warns th…
Three AI coding workflow frameworks—Superpowers by Jesse Vincent, Agent Skills by Addy Osmani, and Matt Pocock's Skills—have emerged as leading approaches to encode engineering process into structured…
Addy Osmani, a Google web engineer, released agent-skills, a repository packaging 24 production-grade engineering skills for AI coding agents that cover the full lifecycle from spec to ship. The repo …
Only 5% of AI prototypes make it to production, with 95% falling into the validation abyss, according to data from MLQ.ai. Google engineers at YouTube solved this by building a prototyping stack that …
Loop engineering, a trend where developers design automated loops to prompt AI agents instead of writing prompts manually, has gained traction after Anthropic's Boris Cherny and OpenAI's Peter Steinbe…
A developer detailed how they configured Claude Code as a testing toolkit, creating custom hooks and a CLAUDE.md file to enforce security and coding conventions. They emphasized building personalized …
The AI engineering community has adopted the term 'loop' to describe at least four distinct architectures: execution loops for agent decision-making, task loops that restart agents until tests pass, p…
Boris Cherny, creator of Claude Code at Anthropic, introduced /goal and /loop commands that enable autonomous AI agents to work without human intervention, shifting the paradigm from prompting to loop…
Prompt engineering is being replaced by loop engineering, a practice where AI systems generate, evaluate, and improve their own work until meeting a goal. Engineers at Anthropic and OpenAI are now des…
A developer introduced the concept of 'diff debt' to describe the accumulated risk of merging AI-generated code that no human has thoroughly reviewed. The term emerged from the developer's experience …
A developer traces the evolution of AI interaction design from prompt engineering (2022-2024) through context engineering (mid-2025) to loop engineering (June 2026), arguing each rename reflects a gen…