Coding and Research Agents

Agents that write code, run shell commands and research on their own.

Coding agents from Anthropic, OpenAI, GitHub and Cursor now reach millions of developers a week, and each ships a permission ladder whose top setting turns off every safeguard. Five of the 19 registry incidents involve coding or research agents, more than any other type except road vehicles.

OpenAI Codex weekly users: Feb 2026 1; Mar 2026 2; Apr 2026 4; Jun 2026 5; Jul 2026 8. Figures after June from secondary sources citing OpenAI OPENAI CODEX WEEKLY USERS Feb 2026 1 Mar 2026 2 Apr 2026 4 Jun 2026 5 Jul 2026 8 MILLIONS, COMPANY-REPORTED FIGURES AFTER JUNE FROM SECONDARY SOURCES CITING OPENAI
GitHub Copilot users
50M
GitHub PRs involving an agent
1 in 3
Claude Code run-rate, Feb 2026
$2.5B+
Registry incidents
5

Deployments

Every major coding agent can run with all safeguards off

Claude Code has six permission modes, from manual approval to bypassPermissions, which Anthropic says is for isolated containers only. Codex has three sandbox modes and a flag that turns off both approvals and the sandbox. ByteDance's Trae reported more than 1 million monthly users in 2025, and Moonshot's Kimi K2.6 claims 300 parallel sub-agents.

Flagship coding and research agents deployments
DeploymentDeveloper / operatorWhereScaleAutonomyStatusControls declared
Claude CodeAnthropic / Developers and enterprisesGlobalOver $2.5 billion run-rate revenue (Feb 2026)Edits files and runs commands; level set by modeGenerally availableSix permission modes; sandbox with no network by default
OpenAI CodexOpenAI / Developers and knowledge workersGlobal8 million weekly users (Jul 2026)Writes code and runs routine commandsGenerally availableThree sandbox modes; cloud tasks in separate VMs
TraeByteDance / DevelopersGlobal1 million+ monthly users (May 2025)AI IDEGenerally availableNot confirmed

Recent events

  • A wiper prompt shipped in Amazon Q Developer extension 1.84.0 in July 2025; AWS says no customer resources were affected.
  • Google moved Gemini CLI consumer users to the closed-source Antigravity CLI on June 18, 2026.
  • Zhipu raised GLM coding plan prices by at least 30% in February 2026, citing user growth.
  • Alibaba open-sourced Qwen Code, a fork of Gemini CLI, in July 2025.

Attack surface

Four of ten attack-surface dimensions rate very significant or critical

Behavior boundary rates critical. Ratings use five levels, from limited to critical, and cover the paths an attacker or a failure can take into the agent.

Attack surface by dimension: Physical access limited; Identity and authentication very significant; Command and control channels very significant; Perception and sensors limited; Connectivity surface significant; OTA and update pipeline significant; Data capture and retention significant; Integrations and permissions very significant; Behavioral and policy boundary critical; Multi-agent coordination significant and growing Physical access LIMITED Identity VERY SIGNIFICANT Command and control VERY SIGNIFICANT Perception LIMITED Connectivity SIGNIFICANT OTA updates SIGNIFICANT Data capture SIGNIFICANT Integrations VERY SIGNIFICANT Behavior boundary CRITICAL Multi-agent SIGNIFICANT AND GROWING
Attack surface rating by dimension. Longer, darker bars are rated higher.
Coding and research agents attack surface by dimension
DimensionRatingWhy
Physical accessLimitedThe agent itself is cloud-hosted or runs on the developer's machine
Identity and authenticationVery significantDeveloper credentials, repository tokens, vendor API keys, deployment credentials all flow through the agent's working environment
Command and control channelsVery significantThe prompt is the command
Perception and sensorsLimitedCoding and research agents typically lack physical sensors
Connectivity surfaceSignificantNetwork access for API calls, web fetches, package registry access, vendor backends
OTA and update pipelineSignificantModel updates flow through vendor backends
Data capture and retentionSignificantConversation history, retrieved content, code and proprietary information flow through the agent
Integrations and permissionsVery significantThe defining dimension for this category
Behavioral and policy boundaryCriticalIndirect prompt injection through ingested content is the primary attack vector
Multi-agent coordinationSignificant and growingMulti-agent coding workflows where planning, implementation, testing, and review agents coordinate are common in current frameworks

Incidents

Five registry incidents involve coding and research agents; the developer found one first

Each row links to its full record, with the control that failed, who found it and whether a reporting rule applied.

Rules

China now requires filing for high-risk agents; the US and EU rely on voluntary or delayed rules

Rules that apply to coding and research agents
RuleJurisdictionWhat it requiresStatus
China agent Implementation Opinions (CAC, NDRC, MIIT)ChinaFiling, pre-release testing and recall for agents in high-risk sectors; defined agent boundariesEffective Jul 15, 2026
EU AI Act Digital OmnibusEUHigh-risk duties delayed to Dec 2, 2027 and Aug 2, 2028Parliament vote Jun 16, 2026
NIST CAISI AI Agent Standards InitiativeUSVoluntary standards for agent security and identityAnnounced Feb 17, 2026
China amended Cybersecurity LawChinaHigher fines; AI safety oversightEffective Jan 1, 2026

Status colors: green in force, blue voluntary standard or framework, amber adopted and phasing in, gray draft or pending, red withdrawn.

Record

Page Record

Agent class
Software
Datasets
ai_deployments.csv (3 rows for this page); ai_attack_surface.csv (10 rows); ai_incidents.csv (5 linked)
Key sources
Claude Code permission modes
Microsoft earnings call (Motley Fool)
China agent rules (CSA)
Source notes
OpenAI Codex: weekly users from a secondary source
Last verified
October 2026