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Continue

Open-source AI code assistant VS Code and JetBrains extension — autocomplete, chat, and edit with any LLM.

@ai-supply
Installs186k
⟳ upstream v2.0.0-vscode · updated 1mo ago
↗ Source repository
← More CodingCoding leaderboard →How we grade security →Source ↗
! Grade B · 88/100 · ReviewSecurity assessment
✓No compromise signals14capabilities surfaced1known CVE8of 20 OWASP controls clear
External endpoints declaredExternal endpoints declaredBroad capability surfaceExternal endpoints declared
scanned 16d ago · partial·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

Continue

Continue is the leading open-source AI code assistant for VS Code and JetBrains IDEs. It connects your editor to any LLM — cloud or local — providing inline autocomplete, a chat sidebar, and block editing commands, all configurable through a single config.json.

Key Features

  • Tab autocomplete powered by FIM models (DeepSeek, Starcoder2, Codestral)
  • Chat with full codebase context via @codebase, @file, @git-diff mentions
  • Edit mode: select code, describe the change, apply instantly
  • Connect to Claude, GPT-4, Gemini, Mistral, Ollama, LM Studio, or any OpenAI-compatible endpoint
  • MCP integration: use any MCP server as a context provider or tool inside the IDE

Quick Start

# Install from VS Code Marketplace
code --install-extension Continue.continue
# Or JetBrains Marketplace: search "Continue"

Configure ~/.continue/config.json:

{
  "models": [{
    "title": "Claude Sonnet",
    "provider": "anthropic",
    "model": "claude-sonnet-4-5"
  }],
  "tabAutocompleteModel": {
    "title": "Codestral",
    "provider": "mistral",
    "model": "codestral-latest"
  }
}
npx ai-supply add continue-dev-ai-codebase

Curated mirror of the open-source Continue (Apache-2.0). Get it from the source.

Rating rank
#1
of 27 in Coding
Install rank
#8
of 27 in Coding
Security score
88/100 · B
review
Security rank
#12
of 27 in Coding
Installs
186k
cat avg 157k
This listing vs category average
Installs
this
cat avg
Security (of 100)
this
cat avg
Adoption trend
See the Coding leaderboard →
! Security: Review · 8888/100 · grade Bscanned 16d ago
✓ no compromise signals15 risk-surface · 6/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

What this capability can do · high confidence (static)
Tools (31)
Timer.tsxtest.jstest.cssUser.phpareaCalculator.phpcolors.phpButton.tsxCounter.tsxForm.tsxtest.htmlgreeter.rbconditional.rbarray_methods.rbtest.cljcmdcommithttponboardreviewsharemyFunctionOldButton.jsxuserSlice.tshelpers.ts
⚑ filesystem⚑ shell⚑ network⚑ secrets
egress → react.dev, analytics.yourcompany.com, docs.continue.dev, plugins.jetbrains.com, api.github.com, api.continue.dev, continue.dev, artifacts-cli.infisical.com +32

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).

OWASP Top 10 for LLM Applications
⚠LLM03Supply Chainhigh
Vulnerable/compromised dependencies, models or archives in the artifact.
•Dependency manifest — 26 npm dependencies declared · continue/binary/package.jsonrisk surface
•Non-registry dependency source — 1 dependency/ies pulled from git/URL/file · continue/binary/package.json (CWE-829)risk surface
•Vulnerable dependencies — 11 known vulnerabilities in: form-data@4.0.5, js-yaml@3.14.2, pkg@5.8.1, undici@7.27.2, uuid@9.0.1 (CWE-1395)known CVE · -12 pts
⚠LLM05Improper Output Handlinghigh
Code that pipes model/user output into shell, eval, SQL or paths unsafely.
•Suspicious code patterns — child_process exec · continue/binary/build.js (CWE-78)risk surface
•Suspicious code patterns — environment/secret exfiltration · continue/binary/utils/ripgrep.js (CWE-200)risk surface
•Suspicious code patterns — dynamic code execution · continue/core/autocomplete/util/AutocompleteLruCache.ts (CWE-95)risk surface
⚠LLM07System Prompt Leakagemedium
Secrets, internal hosts or proprietary logic exposed in shipped prompts.
•Internal host / private infrastructure reference — shipped content references a private IP range or internal-only host · continue/core/context/mcp/MCPConnection.vitest.ts (CWE-200)risk surface
⚠LLM06Excessive Agencylow
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 1 distinct host(s) · continue/.continue/checks/react-best-practices.mdrisk surface
•External endpoints declared — 2 distinct host(s) · continue/.github/ISSUE_TEMPLATE/bug_report.ymlrisk surface
•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege · continue/.github/workflows/auto-fix-failed-tests.yml (CWE-272)risk surface
•External endpoints declared — 3 distinct host(s) · continue/.github/workflows/run-continue-agent.ymlrisk surface
•External endpoints declared — 10 distinct host(s) · continue/CONTRIBUTING.mdrisk surface
•External endpoints declared — 8 distinct host(s) · continue/README.mdrisk surface
•Broad capability surface — 4 high-impact capability categories referenced — verify least-privilege · continue/binary/package-lock.json (CWE-272)risk surface
•External endpoints declared — 4 distinct host(s) · continue/core/autocomplete/templating/AutocompleteTemplate.tsrisk surface
•External endpoints declared — 7 distinct host(s) · continue/core/context/mcp/MCPOauth.vitest.tsrisk surface
•External endpoints declared — 5 distinct host(s) · continue/core/index.d.tsrisk surface
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
◷LLM10Unbounded ConsumptionRuntime-enforced
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
✓LLM01Prompt InjectionPassed
✓LLM02Sensitive Information DisclosurePassed
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
✓LLM08Vector and Embedding WeaknessesPassed
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
OWASP Machine Learning Security Top 10
⚠ML06AI Supply Chainhigh
Compromised PyPI/npm packages, typosquats, unsafe serialized models.
•Dependency manifest — 26 npm dependencies declared · continue/binary/package.jsonrisk surface
•Non-registry dependency source — 1 dependency/ies pulled from git/URL/file · continue/binary/package.json (CWE-829)risk surface
•Vulnerable dependencies — 11 known vulnerabilities in: form-data@4.0.5, js-yaml@3.14.2, pkg@5.8.1, undici@7.27.2, uuid@9.0.1 (CWE-1395)known CVE · -12 pts
⚠ML09Output Integrityhigh
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
•Suspicious code patterns — child_process exec · continue/binary/build.js (CWE-78)risk surface
•Suspicious code patterns — environment/secret exfiltration · continue/binary/utils/ripgrep.js (CWE-200)risk surface
•Suspicious code patterns — dynamic code execution · continue/core/autocomplete/util/AutocompleteLruCache.ts (CWE-95)risk surface
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
✓ML02Data PoisoningPassed
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.
✔ verified source · pinned partial
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/continue-dev-ai-codebase/check). Click a policy:

Consume Continue programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/continue-dev-ai-codebase

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/continue-dev-ai-codebase/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add continue-dev-ai-codebase

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/continue-dev-ai-codebase/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "continue-dev-ai-codebase" })
OpenAPI spec →
vlatest
! Security: Review · 881mo ago

Curated mirror — latest upstream source. See the repository for tagged releases.

Sign in and install this listing to leave a review.

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