# Continue vs Cline vs Aider for local coding

Compare Continue, Cline, and Aider for local coding by IDE assistance, agent actions, Git integration, and the way changes are reviewed.

Author: Retrivium team
Updated: 2026-11-03
Canonical URL: https://retrivium.ai/journal/continue-cline-aider-coding-choice/
Language: en

Continue, Cline, and Aider solve different interaction problems around a local model. Choose by how you want to ask, edit, and review: inline IDE assistance, an agent’s tool sequence, or a terminal workflow integrated with Git.

## The concrete application boundary

The comparison criterion is the unit of interaction. Continue assigns specialized roles to models, including chat and autocomplete, inside an IDE. Cline organizes a task as model-directed tool actions with application review and checkpoint mechanisms. Aider works from a terminal with an explicit editable file set and Git integration. These products overlap, so the table is a workflow shortlist rather than a mutually exclusive feature taxonomy. A useful decision asks what interrupts the developer least while preserving understandable changes. It also asks whether the person wants to remain responsible for each edit or delegate a sequence of actions. Model size and runtime choice do not answer that interaction question ([Continue model roles](https://docs.continue.dev/customize/models)) ([Cline local model overview](https://docs.cline.bot/running-models-locally/overview)) ([Aider Ollama integration](https://aider.chat/docs/llms/ollama.html)).

## A practical route

Select a task small enough to inspect manually, such as adding an existing-style test for a formatting helper. First ask each candidate to explain the relevant function. Then compare how you select editable files, authorize a change, inspect the diff, and run the relevant check. Keep the same starting repository and supplied source material.

## A worked example

A developer mostly wants suggestions while typing: Continue’s autocomplete role directly addresses that interaction. A colleague wants a visible sequence of reading, editing, and checking actions: evaluate Cline’s agent workflow. Someone who already reviews work through terminal Git commands may prefer Aider. These are reasons to shortlist applications, not evidence that any particular model will complete the task correctly.

| Check | Record |
| --- | --- |
| Typing assistance | Continue exposes dedicated chat and autocomplete model roles in its configuration. |
| Action sequence | Cline presents tool actions and workspace checkpoint review around an agent task. |
| Commit workflow | Aider works with selected files and Git-aware review in the terminal. |

## Reading the failure correctly

Do not compare an agent with broad repository access against an editor given only a selected line and call the result model quality. Also distinguish a successful answer from a successful edit. The application can connect correctly while a local model still produces a patch that fails the repository’s actual checks.

## What completes the check

Retain a comparison based on task handoff and review effort. If two applications satisfy the same workflow, a later controlled model evaluation can answer quality questions without turning this shortlist into a fabricated benchmark.

Related background: [Reproducible inference stacks: preserving a GPU pilot’s result](/journal/software-stack-reproducibility/), [Coding LLMs on 12GB VRAM: Budget Context and Headroom](/journal/coding-llm-12gb-vram/).