// ai coding

AI Coding

How modern engineers actually use AI — coding tools, prompt craft, agents, building on LLM APIs, and what it means for interviews.

01
AI Coding Loop Engineering Designing the agent loop — plan-act-observe, stopping conditions, budgets, in-loop verification, recovery, and loop topologies.
Jun 21, 2026 ↗
02
AI Coding Evals for LLM Apps How to test a probabilistic system and an agent — datasets, LLM-as-judge, trajectory evals, and CI gates.
Jun 16, 2026 ↗
03
AI Coding SDE Interviews in the AI Era What to study when AI writes the boilerplate — the durable skills that still get you hired.
May 24, 2026 ↗
04
AI Coding Using AI in Coding Interviews Where AI tools help, where they're banned, and how to talk about them with interviewers.
May 22, 2026 ↗
05
AI Coding Harness Engineering The scaffolding around an LLM — the agent loop, context assembly, tool design, verification, and guardrails.
May 21, 2026 ↗
06
AI Coding Tool Use, Function Calling & MCP How LLMs call tools — function calling, structured output, and the Model Context Protocol.
May 20, 2026 ↗
07
AI Coding Building with the Claude & OpenAI APIs A practical guide — messages, streaming, system prompts, cost, and latency.
May 18, 2026 ↗
08
AI Coding How AI Coding Agents Work Inside agentic coding — the plan / act / observe loop, tool use, and context management.
May 16, 2026 ↗
09
AI Coding AI-Assisted Coding: Best Practices & Pitfalls Getting real productivity from AI pair-programming — and the traps that quietly cost you.
May 14, 2026 ↗
10
AI Coding Prompt Engineering for Code How to prompt LLMs for better code — context, constraints, examples, and iteration loops.
May 12, 2026 ↗
11
AI Coding Copilot vs Cursor vs Claude Code The leading AI coding tools compared — strengths, workflows, and when to reach for each.
May 10, 2026 ↗