Issue 90 is here! This week’s dev tools are levelling up. We’re noticing some really clever and intelligent upgrades this week amongst our launches and funding raises. You’ve got AI coding assistants that don’t choke on your codebase, bots catching bugs before they screw you, plus slick IDE integrations, faster builds, and doc search that doesn’t suck. There are also 2 acquisitions and our developer tool of the week (on the back of announcing TWO game-changing partnerships) is not one to miss.
🏆 Funding Wins
Nia Nabs $850K for Truly Intelligent Coding Assistant
Nia, founded in 2025 by 18-year-old Arlan Rakhmetzhanov, crafts AI tools that grasp codebases like a seasoned developer, solving the frustrations of flaky AI assistants. Having taught himself coding at school in Kazakhstan, producing small-scale software products and realizing the shortfalls of AI tools in programming, he’s now raised a $850,000 pre-seed round led by LocalGlobe for Nia. Rakhmetzhanov told UKTN his motivation behind creating Nia:
“Every AI coding assistant I tried forgot where things lived in my repository – spitting out files that didn’t follow my patterns, duplicating logic, or hallucinating…I wanted to build…an assistant that understood my code as well as I did.”
OpenLayer Banner (Source: LinkedIn)
Openlayer Secures $14.5M for Robust AI Testing
Openlayer, a San-Francisco based startup founded in 2021 by Gabriel Bayomi Tinoco Kalejaiye, Vikas Nair, and Rishab Ramanathan, offers a platform to rigorously test and validate AI systems, preventing failures like Zillow’s $500M loss. The company announced last week that they’ve secured an impressive $14.5M in Series A led by Race Capital, with NXTP, KPN Ventures, Y Combinator, and others joining. Their unified stack empowers engineers, product teams, and compliance staff to ensure AI performs reliably.
Read more about this at OpenLayer’s Blog
🚀 3, 2, 1… Launches
CodeRabbit Hops into IDEs with AI Code Reviews
CodeRabbit, founded by Harjot Gill and Guritfaq Singh, delivers AI-driven, context-aware code reviews to boost quality and cut bugs. Their new extension for VS Code, Cursor, and Windsurf lets developers write, review, and commit without leaving their IDE, offering instant feedback across multiple languages. Trusted by over 1,000 organizations like The Economist, the team’s platform integrates seamlessly into existing workflows; making code reviews faster so developer can catch issues…before anyone else does!
Install in VS Code and Explore more here
Jazzberry’s AI Bot Snags Bugs in Pull Requests
Just launched as part of YC’s Spring 2025 cohort, Jazzberry’s GitHub bot, built by Mateo Perez and Marco Dewey, dynamically tests pull requests in a secure sandbox to catch bugs before merges. By cloning repos and running code, their AI generates tests to uncover issues like SQL injection vulnerabilities, delivering clear markdown reports. The team’s mission addresses the rise in buggy AI-generated code. Hats off to the team for empowering cleaner code!
Better Auth Eases TypeScript Security with Robust Framework
Building secure authentication in TypeScript can be a hassle, often requiring complex code for even basic setups. Better Auth, launched last week by Bereket Engida and KinfeMichael Tariku as part of Y Combinator’s Spring 2025 cohort, offers a framework-agnostic solution that simplifies custom auth with features like multi-factor and social logins. Since launching v1 at the start of the year, they’ve earned 13K+ GitHub stars and 350K monthly downloads. With a plugin ecosystem, admin dashboard, and bot detection, it integrates seamlessly with Next.js, Nuxt, and Astro, delighting a 5K+ Discord community. The team’s onto something big here!
StarSling Simplifies Post-Coding Tasks with AI Portal
StarSling, another Y Combinator Spring batch company, automates post-coding tasks like fixing exceptions within a unified portal, saving developers 20% of their time. Daniel Worku and Yonas Beshawred, with Netflix and StackShare expertise, built a single interface integrating GitHub, CircleCI, and Sentry, offering one-click “Autofix” pull requests. Scattered tools slow developers with flaky builds and incident debugging, but StarSling’s AI agents consolidate these tasks into one portal for seamless automation. Serving 3,000+ engineers, the team’s vision is near-zero time on deployments and bugs. Congrats to the team for sharpening developer focus!
Sign up at StarSling – join the waitlist
Morphik Cracks Tough Docs with Smart AI Search
Morphik, tackles the headache of searching complex technical docs filled with diagrams and tables, which often stump text-only AI tools. Founders, Adityavardhan Agrawal and Arnav Agrawal‘s open-source multimodal RAG platform embeds entire pages (text and images) for 90% accuracy on arXiv QA, letting engineers in fields like healthcare or manufacturing find precise answers fast. The research agent jumps between documents, tables, and figures to pinpoint details, like a pin’s specs in a USB-C diagram. With a scalable SDK, the team makes enterprise data instantly usable. Congrats on joining the YC Spring 2025 batch!
Mem0 Banner (Source: LinkedIn)
Mem0 Boosts AI Tools with OpenMemory MCP
Mem0 is an open-source memory layer for AI applications. Last week, Taranjeet Singh, Deshraj Yadav, and their team launched OpenMemory MCP, it runs 100% locally and provides a persistent, private memory layer for MCP-compatible clients like Claude Desktop and Windsurf. Running via Docker, it offers a dashboard for memory operations—add, search, list, or delete—keeping data secure on your machine. This eliminates cloud risks, enhancing developer control. The launch has thrilled developers everywhere. Congrats to the team!
Check out the repo at Mem0 on GitHub and read the full announcement here
nao Labs Writes Code on Your Data with AI Vibe
Data teams struggle to keep up with business pace, bogged down by multiple tools for SQL and dbt pipelines. nao Labs, launched through YC last week, solves this with Nao, an AI code editor that connects to your data warehouse to write precise SQL queries, dbt models, and data quality checks using schema context. Its AI copilot ensures suggestions match existing tables and columns for reliable analytics and Python outputs. With a decade of data expertise, the team’s speeding up workflows. Congrats to Claire Gouze, Christophe Blefari and crew!
Attune Accelerates Builds with Drop-In Tools
Eliza Zhang and Xin Ding launched Attune (YC X25) last week to tackle slow builds, which waste hours as developers wait on compiles despite AI speeding up coding. Their solution offers drop-in tools that boost Rust build times up to 20x by prefixing commands like “hurry cargo build,” leveraging incremental caching and distributed execution without migration hassles. With a decade of expertise from FOSSA and Teleport, the team’s Rust solution, live now with Docker support coming, frees developers to focus on coding. Congrats to Eliza, Xin, and team!
Request a Demo and Join the Community
Morph Equips AI Agents for Seamless Code Editing
Morph (YC S23) launched last week by Tejas Bhakta, provides APIs to build AI coding agents that swiftly edit code and files, tackling slow and error-prone file updates. Developers struggle with AI models like Claude re-outputting entire files or producing brittle patch edits, especially for large codebases or 50k-token documents. Morph’s solution includes Morph Apply, merging edits from GPT-4o or Claude at 1,600+ tokens/second, and syntax-aware embeddings with reranking for precise context. This infrastructure cuts errors 8x versus patch-based methods, empowering developers to create custom agents for production-scale tasks. We love this!
🔦 DevTool of the Week: Moderne
Moderne Banner (Source: LinkedIn)
Founded in 2020 by Jonathan Schneider (CEO) and Olga Kundzich (CTO), Miami-based Moderne is redefining code modernization. After relocating from Seattle to Miami’s Brickell district in 2022, the 40-person team, bolstered by recent hires like a VP of Sales and Head of Finance, serves clients across the Americas and Europe.
Moderne tackles technical debt, where legacy codebases demand months of manual refactoring. Its platform, built on the open-source OpenRewrite Lossless Semantic Trees (LST), automates code migration, security updates, and remediations, slashing timelines to minutes.
In March, Moderne launched Moddy, excels at multi-repository analysis, handling tasks like pinpointing business logic across codebases.
Last week, Moderne announced partnerships with Azul and Diffblue, amplifying its platform. Azul’s runtime insights help Moderne eliminate unused Java code, streamlining modernization, while Diffblue’s AI-driven unit testing ensures refactored code reliability. These integrations enhance Moderne’s “recipes” for programmatic refactoring, boosting DevOps efficiency.
“We’re removing the barriers to meaningful modernization—from code health to test coverage—giving teams the tools they need to move faster, safer, and smarter” – Moderne
With approximately $50m raised, including a $30M Series B in February 2025, Moderne is poised to advance AI-driven solutions and strengthen security offerings.
Explore more at moderne.ai
🤝 Acquisitions & Partnerships
Together AI Acquires Refuel.ai to Enhance AI Data
Messy, unstructured data hinders enterprises from deploying robust AI applications. Together AI addressed this by acquiring Refuel.ai, founded in 2021 by Rishabh Bhargava and Nihit Desai, announced last week. Refuel’s models and Refuel Cloud, processing millions of records weekly, cut errors by 50% for tasks like financial data structuring. Integrating Refuel LLM-2 into Together’s platform empowers developers at firms like Salesforce to build high-quality AI faster. Congrats to both teams for advancing enterprise AI solutions!
Neon Joins Databricks to Power AI-Native Databases
Last week, Databricks acquired Neon, a 2021 startup by Nikita Shamgunov, Heikki Linnakangas, and Stas Kelvich, for approximately $1B to supercharge AI agent workloads. Neon’s serverless Postgres, with auto-scaling and branching, supports 80% AI-driven database creation, ideal for dynamic apps. This acquisition enhances Databricks’ data intelligence, enabling developers to deploy AI efficiently. The Neon team’s cloud-native database vision aligns perfectly with Databricks’ AI stack. Kudos to both for shaping the future of AI-driven development!
We really enjoy bringing you this news every week. Although we use LLMs to put this newsletter together, it still takes time, effort and many frustrations when things don’t go to plan; the output is very much dependent on the quality of the input. And we see the enormous input that is put into each and every tool mentioned in this newsletter today.
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