Glossary AI & Vibecoding
Fundamental reference guide for the new era of software engineering by Andriy Orlov: autonomous agents, loop engineering, Model Context Protocol, context scaling, VPS infrastructure, and burnout prevention.
A
ENAgent Babysitting Fatigue
A specific psychological exhaustion experienced by developers due to the continuous need to monitor the terminal and actions of a semi-autonomous agent, anticipating its random destructive or foolish mistakes.
AI Alignment Problem
A fundamental safety issue in artificial intelligence: aligning the goals and motivations of autonomous systems with human values, ethics, and the preservation of life. It explores the risks of a superintelligent system finding a literal or destructive way to fulfill poorly defined tasks.
AI as a Bicycle for the Mind
A philosophical and product concept where artificial intelligence is viewed not as an autonomous replacement for humans or an autopilot, but as an amplifier of human intelligence that significantly enhances the efficiency of one's own thinking.
AI as Rubber Ducking
A modern evolution of the classic engineering method Rubber Duck Debugging. Utilizing a language model not as a generator of ready-made answers, but as a patient intellectual conversational partner to whom one explains their problem step-by-step, discovering solutions in the process.
AI FOMO Syndrome (Fear Of Missing Out on Breakthroughs)
A psychological state of chronic anxiety and exhaustion stemming from the feeling of falling behind in the rapid AI revolution. Triggered by daily announcements of new models, plugins, and sensational headlines from influencers on social media.
AI Pair Programming
An engineering methodology for symbiotic software development where the engineer acts as the architect and navigator, while the model or agent serves as a high-speed syntax executor.
AI Slop: Codebase Contamination
A systemic phenomenon of codebase degradation due to the mass addition of low-quality, verbose, overly complex, or duplicated code generated by language models without architectural oversight.
AI Technical Debt
Exponential accumulation of architectural entropy, hidden defects, and unsupported dependencies in the codebase due to rapid addition of generated code without systematic refactoring.
AI-Native Teams: How 3 People Scale a Company to 50 Employees
A new organizational model for modern business and development (AI-Native Teams). Teams of 2–5 multidisciplinary specialists leverage neural networks and autonomous agents to handle tasks in legal, marketing, programming, and customer support without bloating the workforce.
Analog Anchoring for Engineers
A system of regular analog practices (paper notebooks, physical whiteboards, gadget-free walks, and manual labor) to alleviate synthetic overload and restore brain plasticity.
Architectural Erosion from Fast Coding
The unnoticed accumulation of hidden systemic contradictions and the degradation of architectural boundaries in a project due to patchy local code fixes by language models.
Artificial Superintelligence (ASI)
A hypothetical stage of artificial intelligence development (ASI) where the computational and analytical capabilities of a system surpass the combined intelligence of all living humans by millions of times across all scientific, creative, and practical disciplines. A focal point of scientific discussions about the future of civilization.
Atomic Tasks
An engineering practice of breaking down large system requirements into minimal, self-sufficient, and deterministic work units that minimize cognitive load and the risk of context degradation in LLMs.
Automation Bias: Why We Tend to Trust Confident Machine Voices
Automation Bias is a cognitive distortion where individuals prefer algorithmic or language model conclusions over their own judgments or evident reality signals, mistakenly viewing machines as infallible and objective.
Automation ROI
A methodology for engineering-economic analysis of the feasibility of process automation: a mathematical comparison of Total Cost of Ownership (TCO) and development time against the benefits of eliminating human routine.
C
ENCode Authorship Crisis: Who Wrote This Code?
A psychological state for developers resembling a new form of impostor syndrome, arising when the majority of the codebase is generated by language models, leading to a loss of emotional connection with the project, diminished professional pride, and doubts about one's engineering value.
Cognitive Context Thrashing
A state of cognitive overload where an engineer orchestrates 3–5 parallel AI agents on different tasks, exhausting 100% of their energy on constant context switching.
Cognitive Offloading
A psychological strategy for delegating routine cognitive tasks (such as remembering dates, formatting text, and initial structuring of ideas) to external tools and artificial intelligence. This allows individuals to focus their mental energy on critical thinking, empathy, and strategic decision-making.
Cognitive Overload
A psychophysiological state of exhaustion of a developer's Working Memory capacity due to an excessive number of simultaneously held variables, abstractions, or continuous reviews of generated code.
Context Switching
A psychological phenomenon of productivity degradation and attention exhaustion in engineers due to frequent shifts in focus between various tasks, messaging platforms, tools, and agent chats.
Copyright & AI Training
A global confrontation between writers, artists, and media outlets (e.g., The New York Times) against AI corporations (OpenAI, Anthropic, Meta). Analyzing the legal concept of 'Fair Use' and the future of content licensing for model training.
D
ENDeep Work Preservation in the AI Era
A methodology for isolating uninterrupted time blocks for thinking from the endless stream of push notifications, background agent reports, and the temptation for immediate responses.
Deskilling Trap
The professional risk of losing fundamental knowledge, critical thinking, and the ability to independently solve technical problems due to the habit of blindly accepting AI-generated responses. It explains why a specialist without a basic understanding loses the ability to detect model errors.
Developer Burnout
A systemic psychophysiological disorder caused by chronic, unmitigated workplace stress, manifesting as deep emotional exhaustion, depersonalization, and a decline in professional self-esteem.
Developer Deskilling Anxiety
A psychological state of fear and professional uncertainty among developers regarding the potential loss of coding skills due to total delegation of coding tasks to artificial intelligence, leading to concerns about their ability to write syntax, algorithms, and architecture independently.
Digital Detox and Information Hygiene
A systematic regimen for periodic disconnection from digital information channels, monitors, and algorithmic feeds to reset dopamine balance, consolidate memory, and prevent burnout.
Digital Signatures for Photos and Videos (C2PA / Content Credentials)
The C2PA (Coalition for Content Provenance and Authenticity) is an international open standard for media file watermarking. This technology embeds a cryptographically signed creation history into digital photos, illustrations, and videos, preventing unnoticed forgery.
E
ENEnergy and Water: The Ecology of AI Data Centers
An analysis of the real carbon, energy, and water footprints of the artificial intelligence industry. It explains why model training and daily millions of generations require gigawatts of electricity and millions of liters of drinking water for cooling, and why Microsoft, Google, and Amazon are transitioning to nuclear energy.
Epistemic Dependency on AI Models
The psychological and cognitive inability of a developer to make even simple engineering decisions, such as choosing a variable name or architectural approach, without prior querying and approval from AI.
F
ENFlow State in Engineering Work
The optimal psychophysiological state of peak concentration and complete merging of action with awareness, where time subjectively slows down or speeds up, and complex engineering tasks are performed effortlessly.
From Voice Note to Complete Spec (Voice to Spec)
A modern workflow transforming a stream of consciousness into a structured engineering technical specification (PRD/Spec). It combines rapid local audio transcription with structuring models, eliminating the need for developers to spend hours staring at a blank document.
Future of Creativity and Authenticity
The transformation of the value of human art, copywriting, and design in an era where neural networks generate millions of illustrations and tracks in seconds. It explains why personal life experiences, authorial taste, and genuine imperfection become the main competitive advantages in a world of free template content.
I
ENK
ENM
ENP
ENPR Review Drowning & Team Collapse
A crisis in engineering processes where the speed of code generation via AI surpasses the biological capacity of seniors to effectively read, analyze, and validate pull requests.
Prompt Fatigue
A psychological and cognitive state of exhaustion experienced by developers due to the constant need to translate technical intentions into vague natural language, repeat context, and repeatedly reformulate prompts.
Prompt Inversion / Extraction
An attack on AI application security (Prompt Extraction / Prompt Inversion) aimed at stealing hidden system prompts, commercial logic, or private company instructions through specially crafted dialogue traps.
R
ENS
ENSolo-Founder Velocity & Cognitive Overload
The psychological and operational burden of a single developer performing the roles of an 8-person team (Frontend, Backend, DevOps, QA, Security, Product) using AI, without the ability to share responsibility.
Sustainable Agent Delegation Discipline
A system of engineering rules, protocols, and psychological boundaries that enables productive coexistence with relentlessly operating AI agents without descending into round-the-clock shifts and burnout.
Sustainable AI Delegation
A methodology for long-term, psychologically healthy collaboration between humans and artificial intelligence. It establishes task distribution rules that prevent two extremes: turning the specialist into a passive observer or an exhausted 'nanny' for unstable autonomous agents.
Synthetic Imposter Syndrome
Existential devaluation of one's engineering expertise due to the majority of code and architectural solutions being generated by AI models rather than manually by the developer.
Synthetic Slop (AI Slop)
Low-quality, machine-generated mass content (doorway articles, absurd images on Facebook, automated YouTube videos) created solely for ad clicks, cluttering search engines and training datasets.
Synthetic Slop Fatigue
Psychological aversion and apathy in engineers caused by hours spent sifting through template-laden, overly verbose, and inelegant machine-generated code.
Synthetic Users Testing
A methodology for product testing and UX/UI research using virtual agents with diverse predefined characteristics and goals. It enables the simulation of thousands of customer interactions with a new website in minutes, identifying awkward buttons, unclear texts, and sales funnel failures.
T
ENTab Blind Acceptance (Tab Fatigue)
A psychological trap for modern developers where gray autocomplete suggestions from Copilot or Cursor are accepted by pressing the Tab key without careful reading and analysis. This leads to a loss of control over one's codebase and the emergence of hidden bugs.
The Clean Slate Syndrome
A psychological trap of the agentic vibe coding era: the temptation to completely wipe a tangled repository (rm -rf) and start anew instead of conducting a structural refactoring of accumulated technical debt.
The Editor Mindset
The transformation of specialists (copywriters, developers, designers) from mere 'manual labor executors' to 'discerning chief editors and art directors,' where taste, curation, critical elimination of the superfluous, and final validation become paramount.
The Future of Junior Specialists in the Age of AI
An analysis of the transformation in the job market for junior specialists. Automation of basic tasks is dismantling traditional internships while empowering newcomers to independently create full-fledged products.
The Hyper-Productivity Trap
A psychological trap where a fivefold acceleration in code creation does not free up time for rest, but instead raises demands to deliver ten times more features, leading to rapid and severe burnout.
The Turing Test and Its Obsolescence
The historical artificial intelligence test proposed by Alan Turing in 1950 assesses a machine's ability to engage in text dialogue convincingly enough that a human cannot distinguish it from another human. This entry explains why the advent of language models has rendered this test scientifically irrelevant.
V
ENVerification Discipline
A fundamental engineering principle stating that any output generated by artificial intelligence is treated as an unverified hypothesis requiring empirical validation before acceptance.
Verification Fatigue & Rubber-Stamping
Cognitive dulling of an engineer's attention due to a constant influx of large diffs generated by AI, leading to mechanical approval of unverified code in production.
Vibecoding Dopamine Loops
Neurophysiological dependency of developers on instant gratification from generating functional prototypes and subsequent burnout when faced with complex debugging routines.
Vibecoding Fatigue
A specific syndrome of mental exhaustion and alienation for developers, caused by rapid code generation without maintaining a mental model, culminating in Debugging Paralysis.
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