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.
25 stories
Choose an AI coding agent with repo-level tests for autonomy, context, verification, integrations, and cost. Judge working changes, not polished demos.
Octomind 0.57.0 quotes an earlier reply into your next prompt so you can answer it point by point. Plus verification, vision, and long-session fixes.
Connect your agent to real data with Postgres MCP: choose a server, configure credentials, register tools, and verify queries before adding write access.
OpenRouter vs LiteLLM comes down to gateway fees, who operates the proxy, and where provider keys live. Compare the math, controls, and first config.
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.
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.
Tail Rent: What Actually Happens to Your Agent’s Memory After a Week of Continuous Runtime I had a coding agent running against a real backlog for the better part of four days last month. Not one …
Compare AWS Kiro with Octomind on spec-driven development, Kiro pricing and credits, models, persistent cloud machines, open source, channels, and routines.
How to install and use DeepSeek Harness 2.0's desktop app for coding agents, covering setup, plugins, creator mode, and scheduled automation.
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.
Compare Factory (Droid) and Octomind on cloud machines, model independence, enterprise controls, open source, pricing, persistence, and channels.
Compare Google Jules and Octomind on async coding, daily caps, cloud VMs, model choice, persistence, integrations, pricing, and routines.
An AI agent is a model that uses tools in a loop to pursue a goal. The definition that cuts through the hype — and the four capabilities that make it real.
Compare OpenHands and Octomind across MIT and Apache licensing, sandboxes, model costs, persistence, daily caps, channels, and APIs.
Set up LLM evaluation with a golden dataset, useful metrics, CI gates, regression tests, and production feedback. A practical workflow for engineers.
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.
AI agent security starts with verified behavior. Use 10 checks for prompt injection, permissions, sandboxing, regression tests, and shutdown controls.
Compare Google Antigravity with Octomind on models, persistent cloud machines, open source, pricing, channels, and autonomous routines.
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