How to choose an AI coding agent for real work
Choose an AI coding agent with repo-level tests for autonomy, context, verification, integrations, and cost. Judge working changes, not polished demos.
Zentask Blog7 min read
agent harness
21 stories
AI agent developer Manus raises $500M+ at reported $4B valuation
Manus, the creator of the eponymous artificial intelligence agent, has raised more than $500 million in funding. The Chinese startup announced the round today.
SiliconANGLE3 min readWhat Is an AI Token? Count Tokens, Context, and Cost
What is an AI token? AI tokens explained: how models split text, why code and language change counts, how to estimate a bill and count Claude tokens.
Zentask Blog10 min readChatGPT Plus API: No API Key, but Octomind 0.56 Can Use Your Plan
ChatGPT Plus API access still means no API key or API credits. Octomind 0.56 adds Sign in with ChatGPT for eligible plan usage in its local CLI.
Zentask Blog9 min readPi Durable: What It Is and Why It Matters for Agent Apps
Pi Durable adds crash-resumable, multi-conversation state to AI agent apps. Here's how its checkpointing and storage model actually work.
MindStudio Blog8 min readKiro vs Octomind: A Kiro Alternative Beyond the Spec-Driven IDE
Compare AWS Kiro with Octomind on spec-driven development, Kiro pricing and credits, models, persistent cloud machines, open source, channels, and routines.
Zentask Blog7 min readRun a Coding Agent Locally: Ollama, Octomind, and No API Keys
Run a real coding agent on your own hardware in 2026 — no API keys, no code leaving your machine. The honest setup, including where local models still lose.
Zentask Blog7 min readOctomind vs Factory (Droid): A Smaller-Team Factory AI Alternative
Compare Factory (Droid) and Octomind on cloud machines, model independence, enterprise controls, open source, pricing, persistence, and channels.
Zentask Blog8 min readWhat everyone was talking about at WeAreDevelopers World Congress North America
After 237 talks across eight stages, code review emerged as the bottleneck for AI-generated code. Here are the production eval, sandbox, context, and agent experience themes that kept showing up.
Arize AI15 min readAre agent harnesses dying? What harness distillation changes
Harness distillation can train general scaffolding into a model. The harness that remains is the part tied to your tools, data, users, and environment. The post Are agent harnesses dying? What harness distillation changes appeared first on Arize AI.
Arize AI9 min readLLM evaluation: a practical 7-step workflow
Set up LLM evaluation with a golden dataset, useful metrics, CI gates, regression tests, and production feedback. A practical workflow for engineers.
Zentask Blog7 min readWhere Did Your Day Go? Octomind 0.55 Counts Your Hours and Your Energy
Octomind 0.55.0 turns your session log into a timesheet: hours per project, the mental energy agent work used, and code you approved without reading it.
Zentask Blog16 min readHow we built UI Code Mode into Arize Phoenix
We replaced the 58 tools PXI used to drive the Phoenix UI with two tools and a JavaScript sandbox that runs in your browser tab. Here's why, how it works, and what it cost. The post How we built UI Code Mode into Arize Phoenix appeared first on Arize AI.
Arize AI22 min readOctomind vs Google Antigravity: The Multi-Model Antigravity Alternative
Compare Google Antigravity with Octomind on models, persistent cloud machines, open source, pricing, channels, and autonomous routines.
Zentask Blog8 min readWhat changes when AI agents use your software
Daytona cofounder Ivan Burazin wants agents that can finish the job within the authority they have been given. His interview offers a starting point for examining how agents use your software. The post What changes when AI agents use your software appeared first on Arize AI.
Arize AI8 min readAmp Code or Octomind? A Persistent Amp Alternative for Long-Running Agents
See how Amp and Octomind compare on cloud machines, model routing, persistence, free access, open source, integrations, and routines.
Zentask Blog8 min readThe Scaffolding Tax: Why Less Prompt Beats More (2026)
Two frontier labs and two research papers reached the same conclusion by 2026: the AI instructions you wrote to improve output are now quietly making it worse.
Taskade Blog21 min readAgent Interoperability Is the Next Big Thing
Agents remain trapped inside the harnesses that created them. Applying the Five Whys to multi-agent systems: tight coupling, the agentic waterfall, workflows instead of environments, the missing collaboration contracts, and why agent interoperability is the layer that comes after MCP.
Mozaik Blog6 min read
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