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Showing 13 articles in AI Engineering

AI Engineering26 Aug 2026

AI Reliability Engineer (AIRE) Explained — Salaries, Skills, and How to Break In

What an AI Reliability Engineer actually does, why postings from Anthropic and OpenAI pay $250K-$485K, and the real skill gap between an AIRE and a classic SRE.

8 min readRead ↗
AI Engineering26 Aug 2026

Why Your Coding Agent Chokes on Big Repos (And How AST Compression Fixes It)

Raw file dumps blow up token costs and wreck reasoning in agentic coding tools. Here's how AST signature stripping and dependency-aware context loading cut repo context by 90% or more.

6 min readRead ↗
AI Engineering20 Aug 2026

Give Your NestJS AI Agent a Real Memory (Without Blowing Up Your Token Bill)

A two-tier memory pattern for NestJS AI agents — Redis for the last few turns, pgvector for permanent facts — with the code, the tradeoffs, and where it breaks.

7 min readRead ↗
AI Engineering19 Aug 2026

Stop Feeding Raw PDFs to Gemini: A Production Architecture for Document Extraction

How to parse complex PDFs, nested tables, and multi-column layouts with Gemini's Files API, structured JSON schemas, and DPI tuning — without burning your token budget.

6 min readRead ↗
AI Engineering18 Aug 2026

Custom Slash Commands and Subagents for Multi-File Refactors in Claude Code

A single prompt can't safely refactor a multi-file codebase. Here's how repo-scoped slash commands and staged subagents in Claude Code fix that, with git safety gates included.

5 min readRead ↗
AI Engineering17 Aug 2026

Self-Hosted ComfyUI vs Replicate: What Actually Breaks in Production

A cost and latency comparison of self-hosted headless ComfyUI against managed APIs like Replicate for Flux and SDXL image generation in web apps.

4 min readRead ↗
AI Engineering17 Aug 2026

Your AI Coding Agent Doesn't Need All 30 Skills Loaded at Once

Two-tier progressive discovery keeps coding agents like Claude Code fast by loading skill instructions only when a task actually needs them.

6 min readRead ↗
AI Engineering15 Aug 2026

Why Your LLM's JSON Keeps Breaking in Production (And the Fix Isn't a Better Prompt)

A production playbook for eliminating JSON truncation, schema drift, and markdown pollution in LLM structured outputs — with real code for constrained decoding, chunking, and repair layers.

6 min readRead ↗
AI Engineering14 Aug 2026

Loop Engineering: Stopping AI Agents From Looping Forever

A practical breakdown of hash fingerprinting, budget caps, and temperature perturbation for stopping autonomous LLM agents from getting stuck in tool-call loops.

6 min readRead ↗
AI Engineering13 Aug 2026

One Prompt Template, Infinite Consistent Carousels: A System for AI-Generated Instagram Visuals

How a single locked master prompt with four variable fields keeps an entire brand's AI-generated carousel visuals consistent — and why the AI should never touch your text.

9 min readRead ↗
AI Engineering13 Aug 2026

Your AI Assistant Isn't Getting Dumber Mid-Session — It's Running Out of Context

Why long AI coding sessions quietly degrade, and four concrete practices — repo rule files, short sessions, symbol ingestion, ADRs — that fix it.

4 min readRead ↗
AI Engineering12 Aug 2026

The AI Wrote Code That Compiles, Runs, and Is Wrong: A Debugging Workflow

A practical three-tier workflow for catching the subtle bugs, boundary omissions, and security gaps AI coding assistants keep shipping.

5 min readRead ↗
AI Engineering12 Aug 2026

Your MCP Server Works Locally But Breaks in Production — Here's Why

Local MCP servers usually fail in production for one of four reasons: transport, payload size, tool naming, or auth handshakes. Here's how to fix each.

6 min readRead ↗