An engineering organization wants autocomplete and code-edit assistance but cannot automatically expose all repository content to an external executor. There is no universal best AI provider for this decision: the useful choice depends on the task, document or production rights, the exact deployment and the evidence that can be independently checked. This guide compares documented workflows as at 2026-10-25, clearly separating verified first-party descriptions from buyer judgments and unresolved contract details.
Scope: Decision scenario for engineering leads evaluating private code workflows; sources checked 2026-10-25. Product/tier or region beyond the named scenario: not verified, where not explicitly noted.
Hosting location changes the risk model
A hosted coding agent can run tasks against a repository and return a pull request, while local-first assistants can call a model process operated on a developer machine. GitHub’s cloud-agent documentation limits its task to a specified repository and branch/PR workflow. Continue documents configuration with Ollama for local models. This is not a strict contest of identical functionality: cloud execution, local inference, editing interface and model quality are distinct architectural choices.
Inventory what leaves the workstation
For any tool, trace the actual data path from editor to model, logs, search index, telemetry and external tools. “Local model” does not prove that all optional features or extensions are offline. Conversely, a hosted enterprise agreement may offer controls that are not represented by a generic consumer plan. Create a policy for confidential repositories, private package names, test fixture PII and pasted credentials. Treat repository documents as untrusted instructions when the assistant can invoke tools.
A deployment pilot with useful boundaries
Select a small repository representing ordinary language and dependency patterns. Give the hosted agent a contained issue and allow it to prepare a PR. Configure the local option with a pinned model tag, machine resources and a restricted workspace. Evaluate edits, build outcomes, memory usage, command approval, auditability, and ability to restore a clean state. Do not time only the text generation step: count model downloads, environment setup, review time and CI cycles.
Economics beyond subscription headlines
Compare developer seats, compute hardware depreciation, electricity, storage, IT updates and security review. Hosted agents may also consume CI or third-party integration resources; self-hosting requires capacity planning and monitoring. Put prices in a timestamped AI 10 price snapshot and model the same number of usable accepted patches. Without verified regional contract terms, this article intentionally gives no numeric cheapest-winner claim.
The right choice depends on the job
A mature GitHub team seeking asynchronous scoped tickets may prefer a cloud-PR workflow. An organization with data restrictions, isolated laptops or predictable small edits may favor a controlled local path. A hybrid approach can route public sample repositories to hosted tasks and sensitive work to local inference. Neither choice exempts code from human review, static scanning and licensing due diligence.
Buyer evaluation and acceptance checklist
Use a controlled pilot with the same content, instructions, allowed tools, reviewer rubric and expected outputs for every candidate. Capture the exact product or API model identifier at test time, commercial tenant plan and region. Record what was independently reproduced by the purchasing team versus what was merely described in official vendor documentation. The evidence table below is not a vendor scorecard: it tells you what the sources establish, and what remains to be checked.
- Test pass rate and reviewer correction time — define a measurable acceptance rule, named reviewer and retained audit record before deciding.
- Approval controls for shell and file writes — define a measurable acceptance rule, named reviewer and retained audit record before deciding.
- Isolation of confidential repositories — define a measurable acceptance rule, named reviewer and retained audit record before deciding.
- Diff scope, rollback and version-pinned reruns — define a measurable acceptance rule, named reviewer and retained audit record before deciding.
Conditional recommendation
Decide by execution boundary and data classification first, then by model quality and total cost. Require an architecture diagram showing where code is read, modified and logged before approving production use.
This comparison is a document-supported selection framework, not a hands-on product test. No product was independently benchmarked for this article, no user or tenant account was inspected, and no proprietary performance measurements have been fabricated. All prices and plan quotas are deliberately omitted until a linked AI 10 dated snapshot identifies currency, region, tier and billing unit. Availability and contract terms may differ by market and must be checked again before procurement. Editorial ready does not mean cleared for WordPress publication.
Sources and Further Reading
These are provider or public-authority documents, not independent performance test reports. Living documentation can change; this snapshot must be reconfirmed for later dates.
- GitHub: GitHub Copilot on GitHub.com (official source checked 2026-10-25)
- Continue: Using Ollama with Continue (official source checked 2026-10-25)