Augment Code vs Harness
Relationship
Augment Code Review and AI Code Review both list code review; both also serve buyers who need to code with an AI assistant; Harness's scale not recorded.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 shared capabilities — Across all their products, both list agentic coding, code review and workflow automation.
Ludbee capability tags · every product each company sellsShared product type — Both ship AI agent and developer tool.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 3
Not verified for Harness · 2
Recorded for Augment Code. Harness’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Augment Code · 6
Recorded for Harness. Augment Code’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Augment Code
AI agent
Augment's terminal coding agent, backed by its Context Engine, that works interactively or headless in CI, cron and serverless jobs, with subagents, parallel agents, resumable sessions and official GitHub Actions for pull-request descriptions and reviews.
Suite of always-on coding agents that carry out code review on pull requests, convert tickets into pull requests (investigation through testing), remediate vulnerabilities and investigate/document incidents, integrating with GitHub, GitLab, Slack, Linear, Jira and webhooks.
Developer tool
Augment's codebase-understanding layer that keeps a live semantic index of a company's repositories, services, commit history, docs and tickets and curates what agents read, sold inside Augment's plans and offered to Claude Code, Cursor and other agents over MCP.
Harness
AI agent
Developer tool
Reviews pull requests by grouping diffs by risk so the riskiest changes come first, enforcing required checks that cannot be bypassed, and citing delivery history and the knowledge graph for context.
AI SCA applies reachability analysis and EPSS scoring to open-source risk detection.
Creates intent-based tests and runs them within CI/CD pipelines with AI-assisted failure analysis.
No counterpart
Harness sells these in a stack layer with no product recorded for Augment Code yet — nothing on the other side to compare them against.
Application
Engineering-intelligence module that tracks DORA metrics, developer productivity and AI coding-tool spend together: which AI tools teams use, token consumption by developer, team, agent and model, AI-authored code and its effect on delivery.
AI Firewall blocks prompt injection, evasion, and malicious payloads targeting AI applications.
AI and Cloud Costs translates natural-language governance intent into cloud rules and remediates violations automatically.
Detects and blocks API attacks, bots and Layer 7 DDoS with behavioral AI trained on live traffic, covering credential stuffing, account takeover and business-logic abuse such as BOLA and mass assignment.
Agent platform
Governed AI agents defined in a committed file that run inside Harness pipelines on events such as CI failures and pull requests, with prebuilt agents for autofix, code review, code coverage, feature-flag cleanup, manifest remediation and IaCM remediation.
Platform
AI-native software delivery platform: pipelines and canary deployments, AI security testing, runtime API and AI protection, cost management and policy governance, driven by AI agents that recommend while people decide.