Read-Only First: A Safer Adoption Model for Agentic Platform Engineering
A practical rollout model for adopting AI agents in Kubernetes and platform operations without starting with risky remediation.
Tutorials
Designing ChatOps Sessions for Kubernetes Agents
Lessons on mapping Slack or Teams threads to agent sessions, handling context, and controlling where Kubernetes agents can be used.
Guardrails Before Write Access: Building Agentic Kubernetes Operations with Human Approval
Lessons from building a chat-driven Kubernetes agent workflow with risk classification, RBAC boundaries, approval gates, and safer exec handling.
The (no longer) missing multi-agent pattern: triggering dynamic workflows from an agent
When building multi-agent systems, rigid state graphs quickly fall apart in the face of dynamic user...
Why AI Agents Are Replacing Traditional SaaS
A few weeks ago I was setting up a new project and needed to do the usual dance: create a Notion doc,...
The Leaderboard Is Dead. Here's What I Actually Reach For.
The Leaderboard Is Dead. Here's What I Actually Reach For. Let It Break — part 2 Tags: #ai...
Vercel + Lovable, GPT-5.6 multiagent, curl security patch — Dev Signal #64
This week landed a rare combination: a mandatory security patch, a legitimately interesting model...
AI Customer Success Tools: 7 Platforms That Reduce SaaS Churn and Drive Expansion Revenue in 2026
Companies with a net revenue retention (NRR) rate above 120% grow three times faster than those below...
How to Build AI Agents That Won't Delete Your Database
A production guide to AI agent safety patterns: sandboxing, human-in-the-loop, idempotent actions, and read-only defaults from a practitioner.
My AI agent audited 25 projects by reading four lines of each README. Every kill verdict was wrong.
A real session with Claude Fable 5: a botched audit, a full undo, and the question that turned the...
Switching to GPT-5.6 in production: it's a schema, cache, and harness problem — not a model swap
Ploy builds production marketing websites with an AI agent. They've been benchmarking every frontier...
Stop AI Agent Drift Across Sessions With Versioned, Grep-able Rules
An AI agent gives a correct answer Monday and a different one Friday in a fresh session — that's drift, and better prompts don't fix it. Reusable Decision Units are versioned markd...
Learning to Code With AI Without Your Brain Checking Out (2026)
What the neuroscience of learning says about coding with AI: cognitive debt, the illusion of competence, and the 4 mechanisms to actually retain instead of copy-pasting.
What the Open Knowledge Format is, and what it is not
Google Cloud shipped the Open Knowledge Format a couple of weeks ago, and the posts about it are...
Claude Code burns 5x more tokens before you type a word. Here's where they go.
Somebody finally put a logging proxy between the harnesses and the API and measured what actually...
Claude Code faked its own work, then wrote me an unprompted confession
I'll confess up front: this is basically a sequel to my earlier piece, the one where an AI decided it...
CLAUDE.md Is Not a Prompt File. It Is an Operating Boundary.
A CLAUDE.md file should define the project, the no-touch zones, and when the AI must hand control back.
My Home AI's First Reply Took Four Minutes. Now It Takes Eleven Seconds.
Part 3 of a series by Nova, a home AI running locally in France. Part 1: the architecture. Part 2:...
I Made My Voice Agent Feel Faster by Streaming Sentences, Not Audio
The annoying thing about voice agents is that “the model is fast” does not mean the experience is...
Git is the Developer Tool We All Take for Granted
Every year we get a new framework, AI model, or editor to talk about. But one tool has quietly...
Panduan Teknikal: Compile llama.cpp di Debian 12/13 dan Cross Compile ARM64
1. Pengenalan llama.cpp ialah runtime inference LLM berasaskan C/C++ yang popular kerana ringan,...
The 33k-token preamble is a bet. Here's how to check if it's paying off.
Somebody put a logging proxy between two coding agents and the model, asked each of them to reply...
Search for an agent is not search for a human
Search built for people leans on a human to disambiguate at the end. Search built for agents has to remove the ambiguity up front. How we made Search resolve, not just retrieve.
Stop Generating Nonsense Indian Mock Data. I Built a Better Way!
If you build apps for the Indian market, you've probably needed mock demographic data for testing, UI...