BestBlogs Issue #77: Vibe Engineering

Google releases Gemini 3 Flash, attempting to break the Pareto limit of AI performance and efficiency. While retaining Gemini 3 Pro-level reasoning (90.4% on GPQA), it delivers Flash-level low latency with a 3x speed boost, reaching a throughput of 218 Tokens/sec. Key features include adjustable "Thinking Levels" and Context Caching, significantly reducing deployment costs for complex Agent scenarios in law, finance, and coding.

This article provides a detailed introduction to OpenAI's newly released GPT-5.2 Codex model, which is based on the general-purpose GPT-5.2 model and specifically optimized for 'Agentic Coding' scenarios. Key improvements include enhanced understanding and utilization efficiency of ultra-long contexts, increased reliability for large-scale code refactoring and migration, and significantly boosted cybersecurity capabilities.

OpenAI has released its new flagship image model, GPT-Image-1.5, featuring significantly improved instruction following and precise local editing. The model excels at maintaining consistency in lighting, composition, and character appearance during multi-turn edits, alongside enhanced text rendering. This article provides a detailed breakdown of the official Prompting Guide and conducts comparative testing against Gemini 3.0 Pro Image. It highlights GPT's strengths in style transfer and steerability while noting limitations in complex image fusion, making it essential reading for practitioners focusing on AI art workflows.

The ByteDance Seed team has launched Seedance 1.5 pro, a breakthrough joint audio-video generation model that marks a shift from visual-only generation to integrated audio-visual storytelling. Built on the MMDiT architecture, its core strength lies in precise audio-visual synchronization, offering native support for lip-sync and emotional expression in multiple languages and dialects (e.g., Sichuanese, Cantonese). Beyond audio, it significantly enhances cinematic camera control (e.g., Hitchcock zoom) and narrative consistency. While there is room for improvement in multi-character dialogue and physical stability, its practical value for short dramas, advertising, and film creation is substantial. It is now available on Jimeng AI and Doubao.

In this annual deep dive, Google DeepMind CEO Demis Hassabis dissects the technical path from Gemini 3 to AGI. He posits that AGI = 50% Scaling + 50% Innovation, arguing that data scaling alone is insufficient and must be combined with AlphaGo-style search and planning capabilities. The interview highlights the critical role of World Models and Simulation in understanding intuitive physics and accelerating scientific discovery (e.g., fusion, material science). Furthermore, Hassabis likens the AI transformation to a "10x speed Industrial Revolution" and offers profound insights into economic restructuring in a post-scarcity era.

This piece captures key insights from OpenAI's internal sharing session on "Vibe Engineering." The numbers are striking: 92% Codex adoption among technical staff, with users producing 70% more merged PRs than non-users. Two demos stand out—7 hours and 200 iterations to produce 500 lines of quality code, and 12 hours to rewrite a Kotlin project in Rust from an empty directory. The more profound shift is in engineering roles: engineers are becoming managers of AI agents, which themselves spawn sub-agents. The distinction between "Vibe Engineering" and "Vibe Coding" is crucial—the former maintains human accountability while leveraging agents throughout the development lifecycle. Essential reading for developers tracking how AI coding tools are reshaping engineering practice at the frontier.

JustHTML is a pure Python HTML5 parser almost entirely built by LLMs—9,200+ tests passing, just 3,000 lines of code. But creator Emil practiced vibe engineering, not vibe coding: he handled architecture, test strategy, and optimization decisions while AI did the implementation. As he put it: "The agent did the typing; I did the thinking."

The Taote team explores the evolution of AI coding from Copilot to SDD. Addressing the issues of inconsistent styles in Agentic Coding and the difficulty of implementing SDD, they propose a practical solution: using Rules files to enforce project standards combined with lightweight technical schemes and AI-maintained documentation. This achieves a balance between standardization and efficiency in complex business scenarios.

Kitze delivers an engaging and humorous exploration of developers' survival strategies in the AI era. He clearly distinguishes between "Vibe Coding" (blindly trusting AI-generated code) and "Vibe Engineering" (strategically guiding AI with technical knowledge), while sharing how Composer One transformed his development workflow. The talk covers the current state of frontend development, proper AI tool usage, new skills developers need to master, and insightful observations on job market changes. Particularly valuable are his hands-on experiences with AI agents, from voice coding to context management, with detailed methodological insights. Essential reading for developers interested in AI-assisted development and career planning.

ByteByteGo's in-depth technical article systematically dissects the multi-agent architecture behind Deep Research systems. It explains the complete workflow from user query to final report generation, including how orchestrators decompose tasks to specialized sub-agents, parallel information retrieval execution, and synthesis-stage citation generation. Particularly valuable is the comparative analysis of implementation differences across platforms like OpenAI, Gemini, Claude, and Perplexity—such as OpenAI's interactive clarification versus Gemini's autonomous plan generation. With clear architecture diagrams, it's ideal for developers and architects seeking to understand how AI research systems work under the hood.

Lovable shattered SaaS records by reaching $200M ARR in under a year with just 100 employees. In this episode, Elena Verna reveals how AI has rewritten the growth playbook. She argues that traditional funnel optimization is dead, replaced by a strategy focused 95% on innovation, aggressive free tiers, and "building in public." Introducing concepts like "Minimum Lovable Product" and the necessity to re-win PMF every three months, this is essential listening for understanding how "Vibe Coding" and emotional product design drive hyper-growth in the AI era.

Wang Guan, founder of ONE2X, offers a deep dive into AI application-layer startup methodology: data is the first principle, with product-native data as the key moat; generative systems will replace recommendation systems, eliminating middlemen; video is the starting point of AI-era content, where creation becomes expression and the attention economy shifts to a trust economy.

By reshaping the AI Hardware narrative, Looki L1 transformed from a niche gadget into a high-frequency companion with 7.9 hours of daily usage. The core insight lies in the product's evolution from simple recording to understanding Context and delivering proactive surprises. Founder Sun Yang's observations on weekday workflow integration and the long-term vision of Value Selling beyond hardware offer a practical blueprint for AI startups.

This article showcases 7 innovative AI products from the Geek Park Innovation Conference, covering note-taking, photography, productivity, marketing, Agent marketplaces, wearables, and e-commerce visuals. Through insights from founders of flomo, Doka, and remio, it explores diverse product philosophies in the AI era. Key themes include flomo's refusal to generate content in favor of "contextual" insights and Pallas AI's concept of AEO. It offers a practical look at diverse application scenarios and differentiation strategies, ideal for product managers and founders seeking inspiration.

Dan Shipper, CEO of Every, shares radical insights on building a fully AI-native company where 99% of the code is written by AI Agents. He introduces "Compounding Engineering," a framework that transforms tacit development knowledge into a reusable library of prompts. This approach unlocks parallel workflows and seamless cross-product code sharing. By reducing the marginal cost of prototyping to near zero, it reshapes organizational culture, allowing even managers and CEOs to contribute production-grade code during fragmented time, ultimately achieving a 10x leap in engineering efficiency.

Anthropic has released "Interviewer," a tool that demonstrates AI's capability for large-scale qualitative research. Through deep interviews with 1,250 users, it maps a precise "human emotional radar." The study reveals distinct psychological landscapes: professionals hide automation to maintain their image, creators struggle between efficiency and identity crises, while scientists retain core judgment due to reliability concerns. This article deeply analyzes how AI touches the "irreplaceable core" of various professions, marking a shift in AI research from technical metrics to a profound understanding of human psychology and social relationships.

A deep dive with Sergey Brin post-return to the frontlines. Key takeaways: 1. Algorithm > Scale: Compute is just the dessert; algorithmic breakthroughs are the main course. 2. Velocity Crisis: Innovation is moving so fast that even Google lagged post-Transformer and had to scramble. 3. Education Prophecy: With decentralized knowledge transfer, the traditional physical university model may not survive the next century. Essential for tracking AGI trends.

This episode offers a pragmatic retrospective of the AI industry's shift from hype to reality. Yusen Dai of ZhenFund defines 2026 as "The Year of R": Return—the market will pivot from blind investment to demanding ROI and high-quality growth; Research—as pure Scaling Laws face diminishing returns, new paradigms (like Thinking Time Scaling) are needed; and Remember—the true moat for applications lies in personalized memory based on user context. Dai analyzes the robust catch-up of Chinese model companies in the open-source ecosystem and issues a sober warning about potential public market pullbacks, offering a "dumbbell strategy" for founders and investors to navigate the cycle.

This article accurately captures the pivotal shift in the AI industry in 2025: moving from "benchmark fatigue" to building genuine "trust." Data from Interconnects.ai and OpenRouter reveals that open-source models like DeepSeek and Kimi have transitioned from optional to essential, with a significant rise in Token share for complex Reasoning Models. The piece outlines three pragmatic dimensions for establishing AI trust: Multi-dimensional Evaluation based on real-world production data, Deployment Engineering focused on cost transparency, and a Delivery System emphasizing governance and observability.

"Slop" defines the new era of mass-produced, mediocre AI content. Disney's investment in Sora signals the rise of "Slop Economics," where content serves as cheap "background noise" to maximize screen time rather than artistic value. The internet is transforming into a digital landfill designed to satisfy algorithms, reducing users to passive consumers of low-grade digital filler.