18 related articles

Does The Mythical Man-Month still hold 50 years on? A deep analysis of Brooks's Law, the second-system effect, and conceptual integrity in the AI coding era.

Anthropic engineers reveal Claude Code's 18-month evolution: system prompt cut by 80%, 65% of PRs shipped automatically by AI, Claude Tag collaboration, and the safety logic behind auto mode.

AI code getting messier with edits? The root cause isn't weak model capability but a lack of context and process. A deep dive into Matt Pocock's Skills v1.1: grilling, vertical-slice tickets, TDD, and WebFinder.

Once called "the single worst strategic mistake," code rewrites are back on the table thanks to AI. Explore how AI slashes comprehension, translation, and validation costs — and what risks remain.

Andrew Ng partners with JetBrains on a new course systematically teaching Spec-Driven Development. By writing high-quality specs, developers can precisely control AI coding agents, eliminate context decay, and boost intent fidelity.
YC CEO Claims 37,000 Lines of AI Code …
YC's CEO claims to ship 37,000 lines of AI-generated code daily. We break down what those lines actually consist of and how to properly measure AI coding productivity.

Alibaba Cloud vs Volcano Engine TTS: why "I want both" is the mature engineering decision. Dual-engine routing design, priority trap debugging, and vibecoding-powered implementation.

When AI offers multiple fix options in Vibe Coding, why should you choose abstract reuse over quick patches? A real-world frontend bug case study explains the key architectural decision principle.

AI coding tools quadruple code output, but review time surges 441% and defect rates jump from 9% to 54%. Learn why traditional Code Review fails and how to fix it with layered review and AI-reviews-AI strategies.

TraeHarness is an open-source multi-agent framework with 18 specialized AI Agents simulating a real software team, covering requirements, architecture, development, testing, and deployment.

Deep dive into Agent Harness: tracing the paradigm evolution from Prompt Engineering to Context Engineering to Harness Engineering, and how loop-based architectures solve context loss in AI coding agents.
Claude Code Creator Reveals: How AI Pr…
Anthropic's Claude Code creator Boris Cherny shares AI programming practices: 90% of code written by AI, 200% engineer productivity gain, new hires productive in 2 days.

Fable 5 officially launches, targeting high-complexity software engineering with five core capabilities: code review, architectural reasoning, large-scale project planning, multi-step task orchestration, and high-stakes engineering support.

Deep dive into Claude Code's origin: from Anthropic's internal Labs Team prototype to a coding agent reshaping engineering productivity and the future of programming.

Franz founder shares his 10-year journey: rejecting VC funding, trying user donations, and ultimately disbanding his 5-person team to return to solo development powered by AI tools.

Deep dive into how the Cosmos Unified Agents Platform solves multi-AI Agent collaboration challenges through shared context and memory mechanisms, and its positioning in enterprise multi-Agent orchestration.
TutorialsDeep dive into Matt Pocock's AI-assisted coding workflow: Grill Me consensus building, PRD generation, Tracer Bullet vertical slicing, AFK execution, and Deep Modules architecture design.
Deep DivesCan non-technical people use AI Agents to build virtual dev teams? From CEO Agent to Developer Agent, we analyze the theory vs. reality and offer a practical implementation guide.