Почему хороший ответ ИИ иногда ведёт к плохому результату
Хороший ответ ИИ может выглядеть как прогресс и всё равно вести к плохому результату. В статье разбираю, когда вместо немедленной правки видимого учас…
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When Code Takes a Break: What Engineers Think About on Silent Days
📌 Overview Today was a "silent day" — no Claude Code sessions, no commits, no code changes. Yet technical work isn't just about writing code. This day…
How I Turned Claude Into a Disciplined Senior Developer (Not Just a Fast One)
A plain-English walkthrough of my Claude Code workflow — written so anyone, including students, can understand what's happening and why. The Problem W…
System Boundaries: The Difference Between ChatBot, Workflow, Agent, and Harness
System Boundaries: The Difference Between ChatBot, Workflow, Agent, and Harness When people first build Agent systems, they often naturally read them …
the guardrails i actually use with ai agents
i argued in ai liberty that as models get more capable they get more confident, and that confidence makes them take liberties such as pushing to a pri…
Why AI Tool Chains Break in Production (And the Patterns That Actually Hold Up)
There is a specific moment most developers hit when building AI chains, usually somewhere around the third or fourth iteration: the demo works perfect…
From One Failure to Project Memory: Make the Pipeline Stronger Over Time
If AI makes the same mistake repeatedly in the same project, the problem is usually not just the model. The task contract may be unclear. The context …
Evidence Contract: AI Delivery Must Come With Proof
The most dangerous sentence in AI delivery is: "It is done." That sentence is not evidence. AI can write confidently. A summary can look complete. A P…
Building Translation Workflows: Technical Implementation for Multi-Linguist Review Processes
Building Translation Workflows: Technical Implementation for Multi-Linguist Review Processes When you're building applications that handle critical mu…