The best AI agents for software development in 2026

1. 1

   Q

   QoderPublished prices

   In the desktop app, IDE or terminal, the agent reads the codebase, plans, edits files, runs commands and tests, then hands back a diff for the developer to review, and Experts Mode splits a task among lead, engineer, QA and reviewer agents. QoderWake agents fix labeled bugs on a branch for a person to merge.

2. 2

   C

   CognitionPublished prices

   Devin takes a ticket from Slack, Linear or Jira, spins up its own cloud sandbox with a shell, browser and editor, writes and tests the code and opens a pull request. Devin Desktop shows local and cloud agents on one board, and in a Mercedes-Benz pilot Devin analyzed more than 200,000 lines of COBOL.

3. 3

   G

   GitHub CopilotPublished prices

   The cloud agent takes an assigned issue from GitHub, Jira or Linear, works on a branch in its own environment, runs tests and security scans and hands back the diff for review. In VS Code or JetBrains, agent mode edits across files and runs terminal commands until the build passes.

4. 4

   K

   KiroPublished prices

   Before writing code, the agent drafts requirements, design and task documents for the developer to review and approve, then implements against that plan from the IDE, CLI or web. Agent hooks run tests, update documentation or check work against the requirements whenever a file is saved or committed.

5. 5

   O

   OpenHandsPublished prices

   Point an agent at a GitHub issue and it finds the relevant code, makes the change, runs the tests and opens a pull request, inside an isolated Docker sandbox. Agent Canvas runs it or Claude Code, Codex and Gemini CLI on the team's own infrastructure, with automations firing from GitHub events or a schedule.

6. 6

   R

   Replit AgentPublished prices

   Agent 4 scaffolds the code, sets up the database schema and environment variables, then tests the running app in a real browser and fixes what it finds before handing it back. Parallel tasks build several features at once against a protected main version, and the app deploys to autoscale, scheduled or always on hosting.

7. 7

   Z

   ZencoderPublished prices

   Repo Grokking maps architecture, dependencies and the team's conventions across repositories, then parallel agents in the Agentic Pipeline draft specs, implement and verify each change in isolated environments. Zentester and quality gates run tests, linting and review on every change, and scheduled agents handle bug triage and dependency updates through CI.

8. 8

   B

   Base44Published prices

   A builder describes the app in chat and the agent generates it with its own database, sign in and hosting, previews it and takes changes by prompt or by clicking on the page. Two way GitHub sync exports the full source, and a CLI, typed SDK and App MCP give developers a way in.

9. 9

   B

   BazPublished prices

   Review agents read the codebase on every pull request, flag breaking changes and enforce the team's standards, while the Spec Reviewer launches the app in a sandbox and drives a browser to check it against the Figma design and Jira criteria. Planner sends each implementation plan for approval before any code is written.

10. 10

    F

    FactoryPublished prices

    Droids take a Linear or Jira ticket with its acceptance criteria and linked context, implement the change and open a pull request, and Missions split a large migration across parallel Droids against a plan the team approves. AutoWiki keeps a wiki of each repository's architecture current on every push.

See the full ranking with scores

Broader platforms that also cover software development

These 28 vendors sell a wider product and name work for software development as one of its uses. They suit a company that already runs on the platform or wants one agent layer across several teams.

A

Atlassian Rovo

Engineers assign bug work items to the Jira Coding Agent, which turns each one into code in a cloud sandbox and opens a pull request for review. The Release Notes Drafter writes release notes from shipped Jira work, and the Rovo MCP Server gives Cursor, VS Code and GitHub Copilot access to Teamwork Graph context.

M

Momentic

Mo explores a web, iOS or Android app in hosted browsers and emulators, confirms each bug with a reproducer agent before reporting it, and posts a pass or fail review on pull requests by testing the preview build. Accepted bugs get a regression test as a draft pull request.

C

Chipp

Alchemist, the Factory product, takes a plain language ticket and researches, builds, code reviews, deploys, verifies and monitors a TypeScript, Deno or Svelte application, so the customer receives running software rather than a diff. New projects start behind a manual deploy gate, and data operations wait on an approval card.

C

CodeAnt AI

AI Code Review comments on every pull request with fixes a developer can commit or hand to Cursor or Claude Code, writes descriptions and labels, and learns from dismissed suggestions. It can approve low risk pull requests behind a risk threshold, while quality gates and SAST, secrets and dependency checks pass or fail each merge.

U

Unblocked

The context engine answers engineering questions with citations from code, pull requests, Slack, tickets and docs, checking each user's permissions, and serves it to Cursor and Claude Code over MCP. Unblocked Code plans a task, writes and tests it on an isolated machine, has a verifier agent check it and opens a draft pull request.

B

Bito

AI Architect turns a codebase, its tickets and docs into a knowledge graph served to Claude Code, Cursor and Copilot over MCP, and once a Jira plan is approved it implements the change on a branch and opens a linked pull request. A review agent comments on every pull request and commits one click fixes.

Picks by what you need most

Best for complex multi step work

Q

Qoder

Documents the most on orchestration, memory, and knowledge grounding among the specialists.

Best for developer extensibility

C

Cognition

Documents the most on APIs, MCP support, and tool calling among the specialists.

Best for production reliability

O

OpenHands

Documents the most on testing and observability among the specialists.

Best for regulated and governed deployments

G

GitHub Copilot

Documents the most on security, auditability, and human oversight among the specialists.

How they charge

Published prices: 117 of 139

Plans and prices are on the website, and a team can start without a sales call. Examples:

Q

Qoder,

A

Atlassian Rovo,

C

Cognition and

G

GitHub Copilot.

Priced by quote: 17 of 139

Sold through a sales team, with pricing set per customer. Examples:

D

Datafold,

E

Embedder,

S

Sourcegraph and

T

Tabnine.

Pricing not published: 5 of 139

No pricing model could be confirmed from public sources.

Compare pricing across the whole index

Where they run

Private cloud: 32 of 139

Runs inside the customer's own cloud account. Examples:

C

Cognition,

K

Kiro,

O

OpenHands and

Z

Zencoder.

On premises or self hosted: 55 of 139

Runs on infrastructure the customer operates. Examples:

Q

Qoder,

G

GitHub Copilot,

Z

Zencoder and

F

Factory.

The rest run as a cloud service operated by the vendor.

What to check before a shortlist

Where it works

Editor, terminal, cloud or the pull request. Each fits a different way of working. A team that reviews everything in pull requests gets more from an agent that works there than from one tied to a single editor.

How much it does alone

Some agents wait for approval before each command or file change. Others run a whole task in a sandbox and report back. Look at what the agent may run without asking, and whether that is a setting.

Which models it uses

Some products are tied to one model provider. Others let a team choose, or bring its own keys. That affects cost, speed and whether code leaves a boundary the security team has approved.

How you pay

Pricing runs per seat, by usage, or as a mix of the two. Agents that run long tasks can use a lot of model time, so check what a seat includes and what counts as extra.

Head to head

CognitionvsGitHub CopilotCognitionvsOpenHandsGitHub CopilotvsKiroCognitionvsFactoryFactoryvsGitHub CopilotCognitionvsOpenAI CodexBase44vsReplit AgentGitHub CopilotvsOpenAI CodexAnthropic Claude CodevsCognitionAnthropic Claude CodevsGitHub CopilotCognitionvsCursorCursorvsGitHub Copilot

All 139 AI agents for software development

10WebAgent ZeroAgentUIAiderAmpAnthropic Claude CodeAnythingAppFactorAtlassian RovoAtomsAugment CodeBase44BazBernsteinBitoBlackbox AIBlinkBlitzyBootLoopBubbleBuilder.ioCaffeinecamelAICapyCatDoesCharmChipAgentsChippChoicelyClineCodacyCodeAnt AICodebuffCodeGPTCodeRabbitCognitionCosinecubicCursorDatafoldDeepSourcedepthfirstDyadEllipsisEmbedderEmergentFactoryFamous.aiFigma MakeFlootFlutterFlowForgeCodeGenspark AI WorkspaceGitHub CopilotGitLab Duo Agent PlatformGoCodeoGoogle AI StudioGoogle AntigravityGoogle JulesGooseGraphiteGreptileGretaGrok BuildHermes AgentHopliteHostinger AI BuilderIBM BobIdeavoiGentImbueJetBrains AIKernoKilo CodeKimi CodeKiroKombaiLabWiredLettaLinearBLocofyLovableMacalyMacroscopeMechanical OrchardMicrosoft ScoutMistral VibeModerneMomenticNetlifyNxCodeOnSpaceOpenAI CodexOpenCodeOpenHandsPi Coding AgentPlaycodePoolsidePotpie AIProofsQA WolfQoderQodoQwen CodeReaddyRefact.aiReplit AgentRocketRoomoteRorkSageOxSentrySnykSoftgenSonarSourcegraphSourcerySRE.aiStackBlitz BoltSuperappSuperblocksTabbyTabnineTadabaseTemboTempo LabsThinkReviewTraeUI BakeryUnblockedv0 by VercelVerdentVibecodeVybeWarpWeWebZedZencoderZite

Common questions

What are the best AI agents for software development?

Qoder, Cognition, and GitHub Copilot lead the 111 products built for software development tracked by Agentic Index, and Atlassian Rovo, Momentic, and Chipp lead the 28 broader platforms that also cover it. The list is ordered by how many of the same 14 capabilities each vendor documents in public sources, and no vendor pays for placement.

How much do AI agents for software development cost?

117 of the 139 researched vendors publish their prices, so a team can see plans and start without a sales call. 17 sell by quote through a sales team. Each vendor profile on Agentic Index lists the pricing model and any published prices.

Can AI agents for software development run in a private cloud or on premises?

Most run as a cloud service. 32 of the 139 researched vendors document a private cloud option and 55 document an on premises or self hosted option.

How many AI agents for software development are there?

Agentic Index tracks 139 AI agents for software development. Every one is researched from public sources and listed on this page.