Augment Code Reviews & Product Details

What I like best is that it actually understands my whole codebase, not just the open file. It indexes everything — code, docs, history — so when I change one thing, it flags every related spot: constructors, queries, endpoints, tests. Same context follows across IDE, CLI, and GitHub reviews. Feels like a teammate, not autocomplete. Review collected by and hosted on G2.com.

Biggest gripe: it sometimes gets overambitious and changes more than I asked for — redesigning a component when I just wanted one fix, so I have to double-check diffs carefully. Intent (the desktop workspace) is Mac-only for now, no Windows/Linux. Pricing climbs fast with heavy usage, and agentic workflows can feel slow on bigger, multi-step tasks. Review collected by and hosted on G2.com.

It has a unique Context Engine that indexes all of our multi-repo infrastructure instead of analyzing open files separately. It offers precise inline completions that fit our internal architecture, variable names, and types without any long prompts. Review collected by and hosted on G2.com.

The initial indexing of the workspace in huge monorepos can take several minutes upon project opening. Also, since the live context analysis is done using cloud computing, there may be some latency while showing completions in high ping/unstable networks. Review collected by and hosted on G2.com.

Since I come from a software engineering background, I first came across it when GitHub Copilot restructured their plans. It felt like a great alternative. I initially set it up just to try the free credits, and it turned out to be totally worth it. It’s really good at reading context, giving code suggestions, and helping with planning and thinking through things. I genuinely liked it, and it ended up being a strong alternative for me. I used it with VS Code. Review collected by and hosted on G2.com.

There’s no specific thing I dislike about Augment. My concern is more general with AI agents: they can sometimes hallucinate when working within a context window, and the larger the context, the higher the chances of hallucinations. That’s not something unique to Augment.

That said, I’d really love it if they could adjust their pricing plans for individuals. I’m on the business plan, and it’s great. Review collected by and hosted on G2.com.

The context is really amazing. In contrast to a simple AI autocomplete function, it creates an index of all of your multi-repo architecture and understands how your microvaves and dependencies work. The extension works great without any delays for VS Code and JetBrains. Review collected by and hosted on G2.com.

The credit system feels a bit restrictive when you run heavy multi-file refactoring tasks back-to-back. Also, support is mostly ticket-based on standard plans, so you won't get instant live help if you run into edge-case bugs. Review collected by and hosted on G2.com.

What I like best is its deep understanding of code. It doesn’t just understand the code; it also knows how to make changes based on it, instead of only suggesting things to me. Review collected by and hosted on G2.com.

The pricing is a bit high, especially since there isn’t any free version to try first. For small tasks, it also feels like overkill. Review collected by and hosted on G2.com.

The context engine is really amazing. In contrast to a simple AI autocomplete function, it creates an index of all of your multi-repo architecture and understands how your microservices and dependencies work. The extension works great without any delays for VS Code and JetBrains. Review collected by and hosted on G2.com.

The usage pricing and token credit limit require active monitoring if you are running multi-agent tasks all day. Additionally, support in standard tiers relies on ticket portals rather than instant live assistance. Review collected by and hosted on G2.com.

It has excellent fetching quality of code database. I could easily integrate it with github. The speed is good as compared to other products in the market. It also edits and autocompletes your code. Review collected by and hosted on G2.com.

It is an expensive software also I have used it i could feel a little bugs in customer support system. Review collected by and hosted on G2.com.

The context engine is really amazing. In contrast to a simple AI autocomplete function, it creates an index of all of your multi-repo architecture and understands how your microservices and dependencies work. The extension works great without any delays for VS Code and JetBrains. Review collected by and hosted on G2.com.

Using pricing and token credit limits require active monitoring if you are running multi-agent tasks back-to-back. Additionally, standard tier support relies on ticket portals rather than instant live assistance. Review collected by and hosted on G2.com.

not worried about any security implications, easy to use and coach, output tone is not annoying the way claude can be. easy to wire up to github and is good at gathering broader context within our own business Review collected by and hosted on G2.com.

it feels like tokens go faster than other options and I do sometimes have to rein in the output and make sure it is concise Review collected by and hosted on G2.com.

This has been a game-changer for reporting. I am a manager of the customer care team, and with the connection to Zendesk, Auggie was able to help me analyze the data in bulk. Not only is it able to give me a mass report that would have taken me months, it also did so quickly. This is an AI tool that has changed the game, especially for customer care. Review collected by and hosted on G2.com.

I found it quite difficult to set up in my terminal. I wish there was more guides or explanations how one can do this on their own. For someone not as tech-savvy as myself, the interface was pretty dense and I needed to lean on my engineers for assistance. Review collected by and hosted on G2.com.