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Codegen is the Best AI Coding Tool We've Tried

In the evolving world of AI-assisted coding, we've tested a plethora of tools for our own use, all of which promise to streamline development workflows, boost productivity, and handle everything from simple scripts to intricate applications. From established giants to up-and-coming startups, we've put at least paces with real-world coding challenges.

Some of these products excel in vibe coding, others excel at oddly specific tasks such as writing unit tests or documentation, and others promise to be general purpose tools that can complete nearly any task involving a prompt and a Github repository.

But after extensive hands-on evaluation, one tool stands head and shoulders above the rest: Codegen. It's a product that actually worked for us, intuitively, with minimal setup, the first time we tried it. It handles complex coding tasks, and comes with top tier integrations for Github, Linear, Slack, and more. Codegen genuinely delivers on its promises, making it the best AI coding tool we've tried so far. In this review, we'll dive into why it excels, based on our testing.

Unmatched Performance in Task Completion and Execution

What truly sets Codegen apart is its reliability. Unlike many AI coding assistants that falter on complex tasks or require constant human intervention, Codegen actually works – and works exceptionally well. During our tests, it consistently completed intricate coding workflows from start to finish, leveraging numerous integrated tools without skipping a beat.

One of the most impressive aspects was its coherent and sensible multi-step task planning. Most AI coding products get stuck in loops, fail to progress, or encounter other issues that prevent them from working to their fullest. As an example, in one of our tests, we gave Codegen a difficult task of building a workflow handler for one of our applications, and it completed 159 individual tasks in a single prompt, maintaining logical progression and adapting it's logic to bring the task to completion, including writing tests in one shot. This level of execution was simply unmatched when evaluating competitors. In every test we gave it, Codegen planned the steps methodically and executed them near flawlessly, and recovered from errors seamlessly.

A key factor in this superior performance? Codegen routes tasks to high-caliber models like Claude 4, which delivered the best results in our evaluations. Many rival tools cut corners by defaulting to lower-performing models to save costs, leading to incomplete or erroneous outputs, presumably to lower costs. But this trade off is inevitably visible in the final output of these tools. With Codegen, we saw consistent accuracy and depth, making it a game-changer for developers dealing with demanding projects.

Seamless Integrations That Enhance Workflow

Integration is another area where many AI tools fall short, but Codegen shines brightly here. Its Slack integration is a standout feature – it works great right out of the box. We were able to summon Codegen directly in our Slack workspace, and it works exactly as expected.

Equally impressive was Codegen's interaction with GitHub. It handled repository management, pull requests, and code commits with precision.

We were also able to easily integrate with Linear, although we did not test this integration extensively.

A Sensible Runtime Environment for Modern Development

Executing code in a safe, reliable environment, to allow test driven development (TDD) is crucial for any AI coding tool, and Codegen nails this with its container-based setup. We were particularly pleased with how it handled modern JavaScript code. The runtime environments provided sensible defaults, including up-to-date dependencies and configurations that allowed our code to run successfully on the first try, which has been an annoying pain point when evaluating other tools.

In contrast, some competitors we tested used outdated or incompatible container images, or do odd things like choosing to use ARM vs X86 containers, which posed problems with certain open source libraries we use that do not support ARM as a target, leading to frustrating and impossible to resolve failures. One competitor ran our application in a container, but did not allow access to certain folders in the container, making it completely incompatible with the way our package manager installs packages, an egregious oversight. Codegen simple got this right, and we were easily able to run our tests with minimal hassle.

Pricing That Balances Value and Performance

Affordability is always a consideration, and Codegen offers a pricing structure that's both reasonable and justified by its capabilities. For individual users, the $9.99 per month plan is a steal. It provides access to all core features without overly restrictive limits, making it accessible for freelancers, hobbyists, or solo developers looking to supercharge their productivity.

On the team side, the $199 per month team fee might seem steep at first glance for smaller groups. However, we found it well-justified given the reliance on premium models like Claude 4, which enable more effective task completion and fewer rework cycles. In our view, the value derived from reduced development time and higher-quality outputs more than offsets the expense.

Outstanding Support That Builds Confidence

No tool is perfect, especially when it comes to the hot new industry of AI coding, but great support can make all the difference. We were thoroughly impressed with Codegen's customer service. They provide a dedicated Slack channel that connected us directly with their team, offering quick and easy resolutions to our queries.

During our testing, we noticed a minor bug, and submitted it to Codegen via their slack channel - and were almost immediately responded to by their engineers.

Final Thoughts: Why Codegen Tops the List

After pitting Codegen against a wide array of AI coding tools, it's clear why it earns our highest recommendation. Its ability to complete complex tasks with intelligent planning, top-tier model integration, seamless Slack and GitHub support, reliable runtime environments, fair pricing, and exceptional customer service combine to create an unparalleled experience. If you're tired of tools that promise the moon but deliver mediocrity, give Codegen a try. It's not just the best we've tested – it's the one we'll be sticking with for our coding needs moving forward.