Akash Rajasekar@akash_r3

THE PROBLEM When a bug or security fix lands on the main branch, customers running older supported versions need it too. Getting it there is called backporting, and it is still mostly manual. Existing backport bots only handle the easy case: if the fix applies cleanly, they open a pull request. But on long-lived release branches, code moves, functions get renamed and signatures change, so the fix no longer applies. A developer then has to resolve it by hand. Fixes reach older releases late or never, and customers stay exposed after the fix has shipped. THE SOLUTION Ferry carries every fix into every supported release branch and proves each port with tests. It runs in six steps: 1. Audit: finds fixes on main that never reached a release branch. 2. Scope: IBM Bob reads the support policy (PDF) and security advisory (DOCX) and decides, for each branch, whether to port, skip or mark it not applicable, citing the exact section behind each decision. 3. Try: a plain cherry-pick. Clean ports finish instantly at zero AI cost. 4. Adapt: every conflicted port gets its own IBM Bob subagent, all running in parallel. Each one traces renamed and moved code through git history, adapts the fix to that branch, and ports the regression test. 5. Verify: every regression test must fail before the fix and pass after it, and the branch's full test suite must stay green. 6. Report: a dashboard shows the release matrix, the reason and proof behind every cell, side-by-side diffs and per-branch changelogs. WHO IT IS FOR Maintainers and release managers of any software that supports more than one version: enterprise products, libraries, LTS releases and security teams. They run Ferry after a fix merges, then review one dashboard instead of resolving each conflict by hand. WHAT MAKES IT UNIQUE - It handles the conflicted ports that existing bots hand back to humans. - It proves every port per test, not just "the build passed". - Every decision is traceable to the policy document that justifies it. - Built-in guardrails route judgment calls to a human, such as a fix that changes tested behaviour on a maintenance branch. RESULTS ON THE DEMO PROJECT (a library with four diverged release lines) - The audit found 2 security fixes missing from every supported release branch. - All 12 port/skip decisions were made from the documents, each with a citation. - 4 of 4 ports proven: 1 clean cherry-pick at 0 Bobcoins, plus 3 conflicted ports adapted in parallel by Bob subagents. - One conflicted backport took 16.4 minutes by hand. Ferry adapted and proved three in [X] minutes, at about 1.4 Bobcoins per port. IMPACT Faster, proven backports shrink the window in which customers on older releases stay exposed, remove repetitive conflict resolution from developers' days, and give auditors a clear record of what shipped where, and why.

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💻 Online Hackathon | ⏳ Build: 48 hours | 📅 September 25–27, 2026 The official IBM Bob 2.0 hackathon. Build what's next in AI-assisted development, alongside the developers and experts shaping it. ⭐ Get help from experts throughout the event 🤝 Join a team or build solo 💰 Prize pool: $12,000 🧑🏻‍💻 Register before the Kick-Off Stream to start building with Bob

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

Teams work together with multiple AI agents in shared workspaces to design, build, and launch complete AI products — from initial idea to market-ready app. 📅 February 23– March 1, 2026 ⏱️ 6 days to build and ship an end-to-end agentic AI product 🤝 Work together in shared AI workspaces where your team and AI agents collaborate in real time 🔧 Build with multiple AI agents that handle development, design, testing, and documentation together 🎯 Create everything in one place — from ideation to product to marketing materials, all by prompting and observing 🚀 Focus on real-world products that teams could actually ship and use 🏆 $3,500 in prizes + premium 3-month Complete.dev access for top teams 🧑‍💻 Join your team workspace and start building together