Grit's AI Powered Software Maintenance Tool

Technical debt is a term many players in the software development field have grown familiar with. With busy workloads demanding companies to acquire new pieces of software more often, some prioritize the speed and convenience of a setup compared to proper implementation.

Whether with programming shortcuts or quick but messy coding fixes, a poorly planned software architecture can lead to bugs, security vulnerabilities, and much bigger issues companies will realize could have been completely avoided if they didn’t rush the process of setting up.

When what’s done is done, further technical debt can also be prevented mid-way through software maintenance, with ongoing manual monitoring and updates required to keep pieces of software secure and functional. This process can be tedious, however, and takes away the time software engineers could’ve used for more innovative and valuable work.

Code-cleaning startup Grit offers a more efficient and cost-effective solution by utilizing generative AI to analyze codebases and make targeted code improvements for automated software maintenance.

Productivity Through Patterns

Grit’s main mission is to crush technical debt, and with today’s modern economy almost entirely running on code, Grit believes the appropriate tool for creating long-lasting, reliable software is the key. Grit was made to do exactly that, one way by helping software engineers focus more on productivity-heavy and high-quality work by automating tedious code cleanup tasks.

Software maintenance typically requires engineers to modify code line-by-line meticulously, like a doctor handling their scalpel in an operating room. This would not only take plenty of time but may become costly and frustrating for software engineers, especially when having to handle large code bases.

Grit essentially allows this process to be run on autopilot, pulling requests and moving existing code or generating new ones at scale. Grit’s AI bot analyzes patterns of software codebases and sees if any action needs to be taken when maintenance time comes.

The simplest example is when one’s software has become outdated and requires an update. Instead of having software engineering teams manually run an abundant amount of code, Grit automatically programs any change needed and elaborates its plans to software engineer teams for approval. If any part of the plan requires modification, software engineers can propose changes with natural language queries.

Compared to the traditional, tedious ways of codebase refactoring and maintenance programming, software engineer teams can simply review and click Grit’s approve button once appropriate, having the chance to focus on making more ambitious moves for their company.

A Coding Friend for When in Need

With Grit’s bots’ machine learning and natural language capabilities, working with them would feel like any other day with engineer co-workers, except work can be done faster and still be of the highest quality all at the same time.

Grit, which can accessed from and integrated into GitHub, VS Code, and terminal command lines, supports automated end-to-end migrations or an optional CLI for local control and code reconstructions, whether from JavaScript to TypeScript or Chai to Jest. The tool is also equipped with an integrated feedback feature that lets users know when actions have succeeded or need further review.

Grit started out as a private beta but recently turned public after its $7M seed round, led by Founders Fund and Abstract Ventures with participation from Quiet Capital, 8VC, A* Capital, AME Cloud Ventures, SV Angel, Operator Partners, CoFound Partners, and Uncorrelated Ventures.

Grit’s public beta supports works in JavaScript, TypeScript, Python, CSS, and Terraform. Free for anyone in the US to try out, Grit is equipped with unlimited private repos and custom patterns, GitHub integration, email support, a migration dashboard, and a secure cloud environment. Enterprises wanting to utilize Grit’s tool can book a demo and contact Grit for more information.

Meme & AI-Generated Picture

Job Posting

• Grit - Cloud Infrastructure Engineer - New York City, NY (In-Office/Hybrid)

• Grit - Founding ML Engineer - New York City, NY (In-Office/Hybrid)

• Grit - JavaScript Ecosystem Lead - New York City, NY (In-Office/Hybrid)

• Grit - Senior/Staff Software Engineer - New York City, NY (In-Office/Hybrid)

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