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Published on 30.03.2026
TLDR: AI agents that dazzle in controlled demos keep stumbling in production, and the gap is getting worse, not better.
AI Agents: Why the Gap Between Demo and Deployment Keeps Widening
TLDR: CLAUDE.md, AGENTS.md, and similar instruction files are becoming the standard way to give AI coding agents persistent project context — and there is more structure to this pattern than most developers realize.
The Complete Guide to AI Agent Memory Files (CLAUDE.md, AGENTS.md, and Beyond)
TLDR: AI agents are being embedded throughout the software delivery pipeline, and the organizational friction of integrating them is proving at least as hard as the technical work.
How AI Agents Are Reshaping Software Delivery in 2026
TLDR: OpenClaw is a self-hosted AI gateway that proxies between your apps and multiple LLM providers — this guide covers installation through security hardening.
The Complete OpenClaw Setup Guide: Install, Configure, and Secure Your AI Gateway
TLDR: Running capable LLMs locally on an RTX 3070 or 4060 is genuinely doable with the right quantization choices and tools — here is how to get there.
Optimizing Local LLM Inference for 8GB VRAM GPUs
TLDR: When AI tools make building software dramatically cheaper, the cost advantage that justified SaaS pricing evaporates — and open source becomes the obvious alternative.
The SaaS Apocalypse Is OpenSource's Greatest Opportunity
TLDR: inDrive migrated a production Splunk deployment from bare metal to AWS SmartStore without downtime — here is the architecture and the lessons.
Zero-Downtime Splunk Migration at inDrive: From Bare Metal to AWS SmartStore
TLDR: AI-generated code has specific structural characteristics that break traditional test organization strategies — here is how to adapt.