Developer Productivity Agents

Last updated on Jul 2, 2026

Harness Developer Productivity agents automate common engineering workflows that are tedious and time-consuming. The Feature Flag Cleanup agent removes stale flags from codebases, the React Upgrade agent handles framework upgrades with custom prompts, and the Onboarding agent imports repositories and auto-generates CI pipelines.

Feature Flag Cleanup Agent

The Feature Flag Cleanup agent removes stale feature flags from codebases. Given a feature flag name and the desired treatment (e.g., on or off), it uses Claude AI to find all flag references, remove evaluations while keeping only the selected treatment's code path, and clean up unused imports and variables.

How It Works

Task Generation — Generates a detailed cleanup prompt based on the flag name and desired treatment
Code Analysis — Claude AI (up to 50 iterations) scans the codebase for all flag references
Flag Removal — Removes flag evaluations, keeping only the code path for the selected treatment
Cleanup — Removes unused imports, variables, and dead code left by flag removal
Draft PR — Pushes changes and creates a draft PR via the Harness Code API

Key Inputs

Input	Type	Description
`anthropicKey`	secret	Anthropic API key for Claude AI
`harnessApiKey`	secret	Harness API key for creating PRs
`featureFlag`	string	Name of the feature flag to remove
`treatment`	string	Desired treatment to keep (default: `on`)
`repo`	string	Repository name
`branch`	string	Target branch

Output Artifacts

branch.txt — Name of the created branch
commit.txt — Commit SHA of the changes
pr_title.txt — AI-generated PR title
pr_description.txt — AI-generated PR description

Pipeline Configuration

pipeline.yaml
pipeline:
  clone:
    depth: 1
    ref:
      name: <+inputs.branch>
      type: branch
    repo: <+inputs.repo>
  stages:
    - name: FFCleanup
      timeout: 10m
      cache:
        disabled: false
      platform:
        os: linux
        arch: arm64
      steps:
        - name: Agent prompt
          run:
            shell: bash
            script: >
              # Generate cleanup task prompt
        - name: coding_agent
          run:
            container:
              image: anewdocker25/mydockerhub:coding-agent
            with:
              detailed_logging: "true"
              max_iterations: "50"
              task_file_path: /harness/temp-pipeline/task.txt
              working_directory: /harness
            env:
              ANTHROPIC_API_KEY: <+inputs.anthropicKey>
        - name: createNetrc
          run:
            shell: sh
            script: |-
              cat <<EOF > ${HOME}/.netrc
                ...
              EOF
        - name: Pull Request Pusher
          run:
            shell: bash
            script: >
              # Push and create PR via Harness Code API
  inputs:
    anthropicKey:
      type: secret
      default: ffcleanup_anthropic_apikey
    harnessApiKey:
      type: secret
      default: ffcleanup_harness_apikey
    featureFlag:
      type: string
      label: Feature Flag
      required: true
      description: The feature flag to be cleaned up
    treatment:
      type: string
      label: Treatment
      description: The treatment to keep the branch code
      required: false
      default: "on"
    repo:
      type: string
    branch:
      type: string
      default: main

Draft PR Review

The Feature Flag Cleanup agent creates draft PRs so your team can review the changes before merging. It generates both a PR title and description using AI, making the review process easy to understand.

React Upgrade Agent

The React Upgrade agent automates React version upgrades and code modifications using custom prompts. Despite its name, it's the most flexible agent — it accepts any free-form prompt, making it suitable for framework upgrades, refactoring, dependency updates, and performance optimization.

Use Cases

Upgrade React from version 17 to 18
Refactor class components to functional components with hooks
Update deprecated API usage across the codebase
Migrate from one state management library to another
Apply performance optimizations based on custom criteria

Key Inputs

Input	Type	Description
`llmConnector`	connector	LLM connector for AI operations
`harnessKey`	secret	Harness API key
`gitConnector`	connector	Git connector for repository access
`repo`	string	Repository name
`branch`	string	Target branch
`prompt`	string	Custom prompt describing the upgrade/modification task (required)

Pipeline Configuration

pipeline.yaml
pipeline:
  clone:
    depth: 1
    ref:
      name: <+inputs.branch>
      type: branch
    repo: <+inputs.repo>
    connector: "<+inputs.gitConnector != null ? inputs.gitConnector.id : ''>"
  stages:
    - name: react_upgrade
      id: stage1
      steps:
        - name: coding_agent
          id: step1
          run:
            container:
              image: anewdocker25/mydockerhub:coding-agent
            with:
              detailed_logging: "true"
              max_iterations: "300"
              working_directory: /harness
              show_diff: "false"
              prompt: <+inputs.prompt>
              react_upgrade: "true"
            env:
              ANTHROPIC_API_KEY: <+inputs.llmConnector.token>
        - name: show_git_diff
          id: step2
          run:
            shell: bash
            script: |-
              git add -A
              git diff --cached
        - name: fix_env_variables
          id: step3
          run:
            shell: bash
            script: |-
              # Detect SCM provider and set credentials
              # Exports SCM_PROVIDER, TOKEN, NETRC_USERNAME, etc.
            env:
              HARNESS_API_KEY: <+inputs.harnessKey>
              SCM_TOKEN: <+inputs.gitConnector.token>
        - name: push_and_create_pr
          id: step4
          run:
            container:
              image: himanshu6956/create-pr-plugin:latest
            env:
              PLUGIN_SCM_PROVIDER: <+pipeline.stages.stage1.steps.step3.output.outputVariables.SCM_PROVIDER>
              PLUGIN_TOKEN: <+pipeline.stages.stage1.steps.step3.output.outputVariables.TOKEN>
              PLUGIN_REPO: ${{inputs.repo}}
              PLUGIN_SOURCE_BRANCH: ${{inputs.branch}}
              PLUGIN_BRANCH_SUFFIX: react-upgrade-code-agent
              PLUGIN_COMMIT_MESSAGE: "React upgrade: automated changes by Harness AI"
              PLUGIN_CREATE_PR: "true"
              PLUGIN_PR_TITLE: "React Upgrade: Automated changes by Harness AI"
      platform:
        os: linux
        arch: arm64
  inputs:
    llmConnector:
      type: connector
    harnessKey:
      type: secret
      default: harness_api_key
    gitConnector:
      type: connector
    repo:
      type: string
    branch:
      type: string
      default: main
      description: The branch to clone from and create PR against (defaults to main)
    prompt:
      type: string
      required: true
      description: The prompt/task for the coding agent to execute

Flexible Branching

The React Upgrade agent uses up to 300 AI iterations and creates branches with timestamps (e.g., react-upgrade-code-agent-1706123456) to avoid conflicts when running multiple upgrades.

Onboarding Agent

The Onboarding agent streamlines repository setup in Harness. It imports repositories from GitHub into Harness Code, analyzes the repo structure to detect technologies and build commands, and auto-generates a CI pipeline tailored to the project.

How It Works

Repository Import — Clones the source repository from GitHub and imports it into Harness Code
Technology Detection — Claude Sonnet analyzes the repo structure (languages, frameworks, build tools, dependencies)
Pipeline Generation — Claude Opus generates a complete CI pipeline based on the detected technology stack
Pipeline Creation — The generated pipeline is created in Harness via the API

Unique Architecture

Uses two different Claude models: Sonnet for fast analysis, Opus for high-quality pipeline generation
No clone step in the pipeline — the agent container itself handles repository cloning
Runs on linux/amd64 platform (unlike most agents that use arm64)

Key Inputs

Input	Type	Description
`anthropicKey`	secret	Anthropic API key for Claude AI
`harnessKey`	secret	Harness API key for creating repos and pipelines
`scmToken`	secret	Optional SCM token for private repository access
`repoNamespace`	string	Source repository namespace/owner (e.g., `myorg`)
`repoName`	string	Source repository name
`connectorRef`	string	Harness connector reference for git operations (optional)

Pipeline Configuration

pipeline.yaml
pipeline:
  stages:
    - name: onboarding
      steps:
        - name: onboarding_agent
          run:
            container:
              image: colinharness/onboarding-agent:1.0.49
            env:
              ANTHROPIC_API_KEY: <+inputs.anthropicKey>
              HARNESS_API_KEY: <+inputs.harnessKey>
              REPO_NAME: <+inputs.repoName>
              REPO_NAMESPACE: <+inputs.repoNamespace>
              SCM_TOKEN: <+inputs.scmToken>
              CONNECTOR_REF: <+inputs.connectorRef>
      platform:
        os: linux
        arch: amd64
  inputs:
    anthropicKey:
      type: secret
      default: account.onboarding_anthropic_api_key
      description: Anthropic API key for Claude AI
    harnessKey:
      type: secret
      default: account.onboarding_harness_token_pat
      description: Harness API key for creating pipelines
    scmToken:
      type: secret
      description: GitHub token for accessing private repositories (optional)
    repoName:
      type: string
      required: true
      description: Name of repository to clone
    repoNamespace:
      type: string
      required: true
      description: Namespace of repository to clone (e.g., github username)
    connectorRef:
      type: string
      description: Harness connector reference for git operations (optional)
  name: onboarding

Migration Made Easy

The Onboarding agent is perfect for teams migrating to Harness. It can import existing GitHub repositories and automatically generate CI pipelines, dramatically reducing the time to get started with Harness CI.

Feature Flag Cleanup Agent​

How It Works​

Key Inputs​

Output Artifacts​

Pipeline Configuration​

React Upgrade Agent​

Use Cases​

Key Inputs​

Pipeline Configuration​

Onboarding Agent​

How It Works​

Unique Architecture​

Key Inputs​

Pipeline Configuration​

Feature Flag Cleanup Agent

How It Works

Key Inputs

Output Artifacts

Pipeline Configuration

React Upgrade Agent

Use Cases

Key Inputs

Pipeline Configuration

Onboarding Agent

How It Works

Unique Architecture

Key Inputs

Pipeline Configuration