AI CodeOps

The AI dev-tools landscape 2026

71 tools that software teams use to write, review, test, secure and govern code with AI, in 10 vendor-neutral categories. Every entry links to the tool's official site. Tools are alphabetical within each category: this is a map, not a ranking.

Last checked 2026-10-24. Free to reuse under CC BY 4.0. Download the list as CSV or open the map as an image.

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Showing 71 of 71 tools.

Coding agents

Agents that write and change code from a task, in the editor, the terminal or the cloud.

  • Aider

    Open-source AI pair programming in the terminal.

  • Amazon Q Developer

    AWS's AI coding assistant for the IDE.

  • Amp

    A coding agent and development environment.

  • Augment Code

    Agentic software development for whole engineering organisations.

  • Claude Code

    Anthropic's agentic coding tool for the terminal and IDE.

  • Cline

    An open-source coding agent with plan and act modes.

  • Codex

    OpenAI's coding agent.

  • Cursor

    An AI code editor with agents you hand tasks to.

  • Devin

    An autonomous coding agent, with parallel cloud agents.

  • Ellipsis

    Managed cloud agents, defined as config files in your repository.

  • Factory

    Agents ("Droids") that automate coding, testing and deployment.

  • Gemini CLI

    Google's open-source AI agent for the terminal.

  • GitHub Copilot

    GitHub's AI assistant and coding agent, from the editor to pull requests.

  • Jules

    Google's asynchronous coding agent.

  • Junie

    JetBrains' AI coding agent.

  • Kiro

    An agentic coding tool that turns prompts into executable specs.

  • OpenHands

    An open-source platform for running AI coding agents.

  • Roomote

    A cloud coding agent that opens reviewable pull requests, hosted or self-hosted.

AI app builders

Build a working app or website from a plain-language description.

  • Bolt

    Builds websites, apps and prototypes from a prompt.

  • Lovable

    Builds full-stack apps, websites and internal tools from a description.

  • Replit

    Builds apps and websites from a description.

  • v0

    Vercel's AI builder for full-stack web apps.

AI code review

Read pull requests and comment on bugs, security and style before a person merges.

  • Bugbot

    Cursor's AI code review for pull requests.

  • CodeRabbit

    AI code review, PR triage and change explanations.

  • DeepSource

    An AI code review platform.

  • Graphite

    A code review platform for teams on GitHub, with AI review.

  • Greptile

    AI code review with context from the whole codebase.

  • Qodo

    AI code review with codebase context, in the IDE and on pull requests.

  • Sourcery

    AI code review for human and agent-written code.

AI testing and verification

Generate, run and maintain tests, or check changes against real behaviour.

  • Diffblue

    A testing agent that writes and maintains unit tests.

  • Early

    Finds bugs and opens fix pull requests, with verification evidence.

  • Keploy

    Verifies changes in CI against recorded production API traffic.

  • mabl

    An agentic test automation platform.

  • Meticulous

    Generates and maintains visual frontend tests.

  • Momentic

    AI QA with tests written in plain English.

  • QA Wolf

    Writes and runs end-to-end tests for web and mobile apps.

Application security

Find and fix vulnerabilities in code, dependencies and configuration, often with AI-suggested fixes.

  • Aikido Security

    Code, cloud and runtime security in one platform.

  • Checkmarx

    Application security testing with AI agents.

  • Corgea

    Finds, triages and fixes vulnerabilities in code and packages.

  • Endor Labs

    Application security for AI-generated and human-written code.

  • GitHub Advanced Security

    Built-in, AI-powered security for GitHub repositories.

  • Mend.io

    Application security and AI security in one platform.

  • Semgrep

    AI-assisted SAST, SCA and secrets detection.

  • Snyk

    Secures code, AI agents and the apps they build.

Supply chain and SBOM

Know what your software is made of, where it came from, and whether it was tampered with.

  • Anchore

    SBOM-based software composition analysis and container scanning.

  • Chainguard

    Trusted open-source container images, libraries and VM images.

  • CycloneDX

    The OWASP bill of materials standard.

  • Dependency-Track

    An open-source OWASP platform for analysing SBOMs.

  • FOSSA

    SBOM generation, license compliance and vulnerability management.

  • OpenSSF Scorecard

    Checks open-source projects for risky practices.

  • OSV

    An open database of vulnerabilities in open-source packages.

  • Sigstore

    Signing and verifying software artifacts.

  • SLSA

    A framework of levels for build integrity and provenance.

  • Socket

    Detects and blocks malicious and risky dependencies.

  • Syft

    An open-source CLI that generates SBOMs from images and filesystems.

  • Trivy

    An open-source scanner for vulnerabilities, misconfigurations, secrets and SBOMs.

Secrets detection

Stop API keys, tokens and passwords from leaking through code and history.

  • GitGuardian

    Secrets and credential security.

  • Gitleaks

    An open-source scanner for secrets in git repositories.

  • TruffleHog

    Finds secrets and checks whether they are live.

Governance, policy and quality gates

Decide what may merge and ship, enforce it, and keep a record of why.

  • AI CodeOps

    Quality gates and human approval for AI-written changes, with signed evidence packs.

  • Codacy

    Code quality, security and AI coding policies in one place.

  • Open Policy Agent

    An open-source, general-purpose policy engine.

  • SonarQube

    Code quality and security analysis with quality gates.

Engineering intelligence and AI impact

Measure delivery, developer experience and what AI tools change.

  • DX

    Measures developer productivity, including the shift to AI.

  • Faros

    Tracks and governs token spend across AI coding agents.

  • Jellyfish

    A software engineering intelligence platform.

  • LinearB

    Engineering productivity metrics, including AI's effect on delivery.

  • Swarmia

    Engineering intelligence for software teams.

Agent infrastructure

Sandboxes and protocols that coding agents run on and connect through.

  • Daytona

    Secure sandboxes for running AI-generated code.

  • E2B

    Isolated cloud machines for AI agents.

  • Model Context Protocol

    An open protocol for connecting AI applications to tools and data.

The map

The AI dev-tools landscape 2026: 71 AI developer tools in 10 categories

Embed the map

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<a href="https://aicodeops.dev/research/ai-devtools-landscape-2026"><img src="https://aicodeops.dev/research/charts/ai-devtools-landscape-2026.svg" alt="The AI dev-tools landscape 2026: 71 AI developer tools in 10 categories" width="1600" loading="lazy" style="max-width:100%;height:auto"></a>
<p><a href="https://aicodeops.dev/research/ai-devtools-landscape-2026">The AI dev-tools landscape 2026</a> by <a href="https://aicodeops.dev/">AI CodeOps</a>, CC BY 4.0</p>

How we built it

  • Categories by job, not by vendor. Each category is a job a team needs done: writing code, reviewing it, testing it, securing it, knowing what is in it, keeping secrets out of it, deciding what may ship, and measuring the effect. A tool sits where its own site says its main job is.
  • Official sites only. Every link goes to the tool's own website or official repository. We opened each one on 2026-10-24. Where a site redirected to a new domain, we link the new one. Tools whose site now points to a different product were left out.
  • Our own words. The one-line descriptions are ours, written from each tool's own site. They are not reviews.
  • Names, not logos. Product names belong to their owners. We don't use logos.
  • Our own product, once. AI CodeOps appears in one category, governance, policy and quality gates, because that is what it does: it puts AI-written changes behind quality gates and human approval and records how each change was made. It is not listed as a coding agent or a reviewer.

Many tools do more than one job. A coding agent may review code, and a security platform may generate SBOMs. We list each tool once. For how these pieces fit together in a delivery pipeline, read AI agents across the software lifecycle and What are quality gates?

Frequently asked questions

How did you choose the tools?

We listed tools that software teams use to write, review, test, secure and govern code with AI, plus the supply-chain and infrastructure tools that sit around them. Each one has an official website we opened on the date shown, and its own site describes it as doing what its category says.

Is this a ranking?

No. Tools are listed alphabetically within each category. Being listed is not an endorsement, and not being listed is not a judgement.

Our tool is missing or in the wrong category. How do we fix it?

Email [email protected] with the tool's official site and the category you think fits. We add tools that match a category and re-check every link when we update the map.

Can I use the map in my article or talk?

Yes. The map and the list are licensed CC BY 4.0: use them anywhere, with a link back to this page. The embed code below shows the image with that link.

Cite this

AI CodeOps (2026). The AI dev-tools landscape 2026. https://aicodeops.dev/research/ai-devtools-landscape-2026

The data and charts on this page are licensed CC BY 4.0: reuse them anywhere, with a link back to this page.