An on-premises coding assistant
The developer was instructed to fix a small error in his own application. You need to find a handler, understand the adopted style, change several files and check the result. A local code assistant is useful when it offers a foreseeable change with an explanation, and the team can test it with the usual project tools. The server ensures the operation of the selected model; access to the repository, editor tools and the order of acceptance of changes are configured separately.
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Start with one clear task
A good first scenario is a reproducible error with known expected behavior. The developer transmits a description, task-related files, and an existing test or an example of a failure. It is easier for the assistant to offer a meaningful fix when the version of the library being used, interface limitations, and accepted agreements are known. The request to “rewrite the app better” does not provide such a checkpoint.
In the pilot, you can compare the time of finding the right place, preparing a change and checking it. The number of files affected and the corrections that the reviewer makes after the model's response are also helpful. These indicators help to choose a working scenario: an explanation of an unfamiliar module, a small edit or preparation of a test. Success on a single task does not confirm the same quality for the entire repository.
Editor, Context, and Server: Three Parts of the Project
Continue supporting Ollama As a model provider and allows you to specify the address of its service. Because of this, the developer’s workplace and the machine performing model requests can be different computers. Specific editor, extension version, model, address and network access are recorded in the project settings. Tool support is tested on the selected model, not intended for any local run.
Continue’s up-to-date documentation describes the exploration of an open source project through file browsing, Git search and history, and the rules in .continue/rules. It is convenient to briefly explain the architecture, verification commands, and team conventions. Access to other internal repositories or documentation requires a separate connection. Outdated context provider @Codebase It should not be taken as a mandatory modern deployment scheme.
The change should remain visible.
The quotation of the assistant is considered as a draft. The developer reads the difference in files, checks for dependencies and runs the corresponding verification task. Automatically generated tests also need to be evaluated: they need to confirm the desired behavior, not just repeat the new implementation. If error handling is corrected, it is useful to check both the normal path and the initial failure.
| Request for an assistant | What context should I give? | What to take on the result |
|---|---|---|
| Find the cause of the failure | Reproduction example, processor, error message | Verified explanation with indication of files |
| Prepare a small edit. | Interface limitations, related functions, dependency version | The obvious difference without overwriting |
| Add a check | Expected Behavior and Rules for Project Tests | A test that distinguishes between correct and mistaken cases |
| Explain an unfamiliar module | Files and Developer Questions | Response, checked with code, with gaps marked |
- Failure description and required files
- Project Rules and Local Model
- Proposed File Difference
- Testing and Developer Verification
- Ordinary acceptance of change by a team
Context is not enough
Request the desired file or clarify the task
Check found an error.
Return the draft to rework.
Proposed workflow. The model server, editor permissions, and application release are different parts of the project.
The right to read files does not mean the right to run arbitrary commands or change the working system. For the pilot, a separate working copy and an agreed set of actions are selected. Access to external services and repositories is not added just for the convenience of the demonstration. Change confirmation, branch merge, and release are performed according to the normal command rules; buying a server alone does not replace these rules.
Making the car fit the context and users
The size of the model, the length of the transmitted context, and the number of simultaneous requests determine the memory requirements and operating latency. Continue warns that longer context can cause memory shortages even when the same model is running in a different application. Therefore, acceptance is carried out with real tasks and editor settings, not only with a short welcome request.
In the application, specify the number of developers, programming languages, the approximate size of the selected modules and the acceptable expectation. For comparison, take a few tasks: understandable local editing, search for a related function, and a case with insufficient context. The latter is especially useful: the team will see if the assistant asks for the right files or offers unconfirmed details. The results are stored along with model and settings versions to evaluate subsequent updates.
Order a server together with a clear composition of work
Basic quotation - AI Server Manager 256The server project of the Superintellect direction. Exact CPUs, RAM, GPUs, drives and software environments are agreed upon by the specification. The number in the name does not determine the amount of memory. Price, availability and term upon request; Continue installation, model service setup, project rules and support are included only in the agreed composition.
Fully autonomous operation is checked throughout the route: extension, models, documentation, updates and telemetry. The Continue guide for working without the Internet provides pre-installation, local model and disabling anonymous telemetry. The licenses of selected models, programs, and dependencies are treated separately; the cost of the server does not automatically include all rights. Send the pilot task, requirements and delivery city. Delivery in Russia and Kazakhstan will be calculated according to the agreed configuration. For Almaty and Astana, specify the receipt address and the requirements for the documents in advance; the route and the cost of delivery will be confirmed in the quotation.
Questions before ordering
Will the assistant be able to immediately understand the entire closed repository?
It needs accessible context and tool settings. Current Continue applies file browsing, search, and project rules; access to other internal sources is connected separately. A complete understanding of the entire code is not guaranteed.
Can I keep the model on the server and the editor on the developer’s computer?
Continue allows the address of the Ollama service via apiBase. For the project, the network, access and selected model are separately checked. Tool support and memory sufficiency depend on the specific configuration.
Will the proposed edit immediately get into the working application?
The order of acceptance remains with the team: the observable difference of files, suitable checks and review. Merger and release are not automatic functions of the purchased server.
Basic quotation
AI Server Manager 256
Price on request. The actual configuration, availability, programs and works are agreed in the quotation. The designation of the model does not determine the amount of memory.
Request a quotePrimary sources: Continue: How to Configure Ollama — provider, model, apiBase, capabilities, contextLength; Continue: current code research tools, .continue/rules, internal sources and deprecated context providers; Continue: How to Run Continue Without the Internet – pre-installation, local model, disable telemetry. Versions, editions, licenses and implementation composition are agreed for the selected delivery.
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Local Assistant for Distributed Development Team
If developers work in Novosibirsk and Tomsk, describe the authorized repositories, work roles and the procedure for submitting changes for verification. The name of the city does not specify access to the source code or the authority of an assistant. For a server project, you need an actual set of tasks, an application configuration, and rules for running commands. The draft of the patch, the result of the check and the decision to include the change are kept separately. The query agrees on the hardware composition and functions of the program; the presence of a local server does not in itself confirm ready-made integration with any Git process.