TMTonik Mappinmaptonik.hashnode.dev·Jul 3 · 2 min readAI Operating Systems: The Next Force Multiplier Every generation is lucky enough to experience a major technology evolution. For one generation, it was the personal computer. For another, it was the internet. The latest one is AI. Each evolution fe00
EEEmre Ertugrulinhorizon-lab.hashnode.dev·Jun 30 · 6 min readCoro - Deterministic Software Development AI harnessWhat we are missing Every developer now has a chat companion. Every IDE, every little harness has a chat window where you can use it to vibe your million dollar idea at night to save the world, and yo00
MNMariano Nicolas Pietragalloinmabraxas.hashnode.dev·Jun 26 · 21 min readOne Skill to Rule Them AllHarness engineering, agentic AI, models… Where to begin? What would be the first thing you would do in an agentic AI harness such as Github Copilot 2026 or Factory Droid? Why? I believe that would be 00
APabhishek pareekinabhishek-pareek.hashnode.dev·Jun 24 · 10 min readOnboarding Claude Code Harness: The Hard WayI've been running Claude Code daily for exploratory and experimental work driver for a little while now, and the single biggest realization I've had is this: Claude model is not the product. The harn00
CAChris Adkininagentops.hashnode.dev·Jun 19 · 14 min readGetting Up And Running With AtelierPicking up from Vibe Coding A Coding Harness, where I vibe-coded a harness - dubbed Atelier - with Claude Code to learn how harnesses are built and get a feel for producing large codebases. The GitHub00
KKKarthik Karunanithiinkarthikk.hashnode.dev·Jun 19 · 13 min readHarness Engineering: The Part of Agentic AI Nobody Writes AboutEveryone is tuning prompts and picking models. Almost nobody is talking about the harness. And after building agentic systems for enterprise customers over the last year, the harness is where most of 02KG
Zzhayujieinyujie.hashnode.dev·Jun 17 · 11 min readA Five-Layer Self-Evolution Mechanism for AI AgentsSelf-evolution is a core module of the Agent Harness. With it, an Agent can keep improving across long-running tasks: refining its own skills, recording user feedback and preferences, and reviewing it20
KMKartik Mehtainwriter.mrmehta.in·Jun 5 · 8 min readAgent = Model + HarnessIf you have ever called an LLM API, you already know the basic shape of it. You send some text, you get some text back, and the connection closes. That is a model. It is good at producing language, bu00
KMKartik Mehtainwriter.mrmehta.in·Jun 6 · 7 min readHands, Memory, and a Job to DoPart four of a series on agent harnesses. The earlier pieces covered the model-plus-harness idea, subagents, and sandboxes. This one is about the three things that turn a capable agent into one that e00
KMKartik Mehtainwriter.mrmehta.in·Jun 5 · 8 min readLetting Agents Run, SafelyPart three of a series on agent harnesses. Part one introduced the model-plus-harness idea, and part two split work across subagents. This piece is about the layer where agents stop just talking and s00
