Qodo

🎉 We’re kicking off All Things Open Conference and couldn’t be more excited to be a Gold Sponsor! Qodo is on a mission to make AI-powered Code Review the fastest path to better software including shift-left reviews, PR feedback that actually helps, and deep codebase context across the SDLC. If you’re at ATO, come say hi and see how teams are shipping higher-quality code with fewer cycles. ✅ Live demos all day ✅ Real-world workflows (PR review, coverage, policy) ✅ Expert tips to level up your review process See you there!

Qodo: Agentic code review and integrity testing before & after merge - Qodo provides a code quality platform that coordinates AI agents to map out the workflow context and specific change requirements of each pull request in order to shift testing and code review left within an iterative DevOps release process. https://lnkd.in/eVXTdgUM

In enterprise engineering, code review and code quality need to be more than a box to check—they should power predictability, compliance, and business impact. The latest Qodo blog breaks down how modern teams elevate software testing metrics: -- Align code review with Defect Removal Efficiency (DRE), traceability, & risk-weighted automation -- Transform QA data into audit-ready, actionable insights for leadership & auditors -- Shift from vanity metrics to real controls for CI/CD and compliance reporting If your strategy still ends at “tests passed,” it’s time to rethink how metrics—and your code review pipeline—drive ROI, trust, and release confidence. Read how Qodo brings these standards to life. Or, install in minutes to check it out yourself: https://lnkd.in/eBX__Mv3

We’re thrilled to be part of this exciting news from Google Cloud! Today, Google announced self-deployable proprietary models in your own VPC via Vertex AI Model Garden. That means enterprises can now discover, license, and deploy select partner models with a few clicks inside their VPC. We’re proud that Qodo is included at launch. 💡 Our large-scale code embedding models supercharge retrieval for code & text, enabling faster, more accurate RAG and semantic search across complex codebases. Read more from Google here: https://lnkd.in/eS8KMXXM

Approximately 40% of developers spend 2–5 working days per month on debugging, refactoring, and maintenance caused by technical debt! In the age of AI software development, this should no longer be necessary... Check out our latest article about how AI powered code review can improve developer productivity by detecting early duplication, outdated patterns, and architectural inconsistencies, helping teams maintain production-ready, maintainable code. https://lnkd.in/eunVaK2c

While AI can generate working implementations quickly, speed without codebase context often leads to garbage values and code that looks correct initially but introduces redundancy, inconsistency, or hidden flaws. The real challenge, and equally the real opportunity, lies in the review process, ensuring that the code aligns with organizational standards, meets compliance requirements, and supports long-term maintainability. Does your team have code review workflows in place to fit future system evolution, support maintainability under pressure, and integrate cleanly with existing architecture? Read more from Nnenna Ndukwe here: https://lnkd.in/ep7DCayk

Developer productivity isn’t just about creating more code, faster. It's about engineering faster and smarter with codebase context and quality. Great dev teams scale by keeping standards high, reducing tech debt, and helping junior devs contribute meaningfully to complex systems. Hear more from Nnenna Ndukwe about how codebase context and multi-agent workflows turn rapid output into maintainable, production-ready software. 👉 https://lnkd.in/eFxhPnkk

🧠 New from our Qodo CEO Itamar Friedman: From Agents to the Second Brain, a look at what comes after agent hype. TL;DR: Agents are useful, but the real unlock is a Second Brain for Engineering: persistent context + reasoning that understands your codebase, architecture, and history, then guides reviews, tests, and changes with confidence. Key ideas: -- Move from autocomplete to accountability: quality, governance, and traceability built in. -- Make knowledge persistent: decisions, diffs, incidents, and best practices become living context. -- Turn speed into trust: faster changes that stay aligned with your system, not just “it runs,” but “it’s right.” Read more; 👉 https://lnkd.in/ei8KE64P

The Build Your Own Agent challenge is on, and we are excited to share our latest submission! The GitHub Issue Handler Agent analyzes new issues, answers them, and can even propose fixes + open PRs. Ready to build your own? Check out the details 👉 https://lnkd.in/ez2nM6Bf And see details from the GitHub Issue Handler Agent in the comments!

The first class of Agent Academy is in session - tomorrow, Sept 24th! Join Nnenna Ndukwe for a fast-paced, hands-on session to level up your AI agent skills with Qodo. We’ll go from ideas → working agents you can use in real workflows. 🤖⚙️ In this first session you will learn how to: -- Build & wire up agents: end-to-end setup with tools, context, and prompts that actually hold up in production. -- Evaluate & trust: measure agent quality, add guardrails, and debug with real code references. -- Ship to your workflow: run agents in IDE/terminal/CI, automate PR checks, and integrate with your stack. Save your spot 👉 https://lnkd.in/eFSR6eBE