Hermes vs OpenClaw: Compare Coding Agents by How They Actually Behave
Use GitHits in the research phase to compare coding agents by their real behavior, before you clone a repo or write code.
229 stories
Use GitHits in the research phase to compare coding agents by their real behavior, before you clone a repo or write code.
How Codex migrated dynamic SQL to SQLx 0.9 without turning user input into query text.
How Codex fixed a DuckDB v1.3.2 table function migration with version-specific source from GitHits.
We ran Lightpanda, agent-browser, and browser-use through AssistantBench and GAIA Level 1 with Claude Sonnet 4.6 as the brain. The tool surface mattered more than the engine.
Use Weaviate's built-in MCP server to give Claude Code, Cursor, and VS Code hybrid search over your codebase and docs. No glue code.
How to use Claude Code subagents for repo-wide search without polluting the main context window — patterns, gotchas, and when not to bother.
Lightpanda is now an officially supported browser backend in Nous Research's Hermes Agent. One config line to enable, with automatic Chrome fallback for the gaps.
GitHits CLI is here. Install in one command and give agents 14 tools for code search, package inspection, documentation, and grounded open-source examples.
Nathan Burg on source-grounded context for coding agents, and why real data matters when building AI workflows developers can actually trust.
The harness is converging. Context is what separates teams. A platform team's guide to owning Claude Code, Cursor, and Codex across your engineering org.
coding agents need context to be useful. skills registry lets teams author skills once, review and version them, and sync to claude code, cursor, and codex.
Olli-Pekka Heinisuo on how open-source code becomes useful context for coding agents, from generic answers to grounded examples from real repos.
Clawdi’s Stock Expert agent can analyze stocks, filings, and trades, but what does that actually mean? Here’s a simple guide to what it does and how to use it.
Most Clawdi users only use the chat screen. The real power shows up when you start using the Control UI, agent templates, and per-agent channels. If you haven’t touched these yet, you’ve probably only unlocked ~20% of what OpenClaw can do.
A lightweight VM for AI agents, powered by WebAssembly and V8 isolates. ~6 ms cold start, 32x cheaper than sandboxes, full POSIX environment.
Most AI agent skills ship untested. See how LangWatch Scenario simulates full multi-turn conversations with a user simulator and judge to catch real failures.
Non-technical leaders now write agent simulations in plain language with LangWatch and Claude, testing AI agents before a single customer sees them.
LangWatch Skills let your coding agent instrument tracing, observe production performance, and run tests automatically, no manual setup needed.
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