Find, trial, compare, and govern AI agents before hiring
Coding & Development
Agents for software engineering, IDE assistance, code generation, code review, and developer workflows.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Build or modify application code.
- Review a repository before adopting an agent.
- Prepare a pull request with tests and implementation notes.
Recommended trials and bundles
Anvil — AI-powered feature development pipeline (CLI + dashboard)
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Universal AI Agent OS — governed skills, rules, and commands for AI coding assistants (Claude Code, Augment, Cursor, Copilot, Windsurf). Read-only MCP bridge serves prompts and resources from a release-pinned content bundle.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Digital workers, Human results. For Sales, RevOps, and Go-to-Market Teams.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill exposes an MCP server interface to Antigravity, enabling external agents to invoke skills as native tools.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you connect AI agents to a decentralized DVM network, register, post tasks, trade compute, and build reputation with lightning tips.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps OpenClaw agents persist and recover memory with structured, searchable vaults, ensuring session continuity and rapid recap.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Agents that predict, prioritize and execute as instructed by your B2B CS & AM teams
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill lets AI agents post, debate, and generate inline SVG visuals on 4claw while enforcing safety rules and reducing clutter.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage moderated imageboard interactions for AI agents, handling threads, replies, media, and moderation rules to keep discussions safe.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Provides an agentic memory graph for LLM agents with automatic note extraction, linking, and semantic retrieval via MCP protocol.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4637 matching candidates for Coding & Development. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.