Alex Hammett

So, a bit of personal news. Today I’m starting a new chapter and joining Conduct as an Account Executive. I’ve spent a lot of time over the last few months thinking about what I wanted to do next, and from the first few conversations with Jan Philipp Haas there was something about Conduct that just clicked. It’s a hugely ambitious company, going after a genuinely difficult problem, and doing it with a team I really wanted to be part of. The opportunity to work with some of the world’s largest organisations as they rethink how major transformation programmes get delivered, particularly aroun

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We’re hiring Conduct’s first Analyst Relations lead, based in London. The world’s largest companies run on SAP systems layered with decades of custom code. New requirements take months to ship. Migrations cost $100M+ and take years. We’re building the AI operating system that absorbs that complexity and gives enterprises their speed back. Major enterprises already trust us with their most critical systems, we’ve closed big SI partnerships, and we just raised a $60M Series A. Every great enterprise software company reaches a point where analysts stop treating it as a vendor to watch and start

linkedin.com/posts/alexhammett_analyst-relations-activity-7523402176698765312-wgj_notedNov 3, 2026

We have just closed the loop between AI code generation and quality, marking a significant shift in our approach. As AI agents generate code at unprecedented speeds, reviewing it has become the new bottleneck. Today, we launched a major update: Devin can now autofix review comments in addition to addressing lint and CI issues. When GitHub bots identify a problem—whether from linters or security scanners—Devin automatically resolves it and feeds the fix back into the pull request. The process is streamlined: Write. Catch. Fix. Merge. Agents write, review bots catch, and Devin fixes. With CI

linkedin.com/posts/alexhammett_cognition-closing-the-agent-loop-devin-activity-7431680920379838464-ldBYnotedFeb 23, 2026

As more engineers adopt AI coding tools, the bottleneck has shifted. Writing code is faster than ever. Reviewing it is not. Pull requests are growing larger and more complex, yet most code review tools still treat them as flat lists of files and diffs. That approach does not scale. That’s why we built Devin Review. It helps engineers quickly understand what is actually changing in large, multi-file PRs. What Devin Review does differently: 1. Groups related changes together and presents them in a logical order, instead of file by file 2. Provides concise summaries explaining what changed and

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Most AI demos stop at “look what it can generate.” This one is about what AI can actually do inside modern engineering teams. On 24 June, Cognition is hosting What’s New in Devin - a live technical deep dive into the latest updates across Devin Cloud, Devin Desktop and Devin CLI, with a closer look at new Desktop capabilities and security enhancements. Expect: • A practical overview of the Cognition platform • Live demos of Devin Desktop • A walkthrough of the newest security features • A look at where the platform is heading next • Q&A with the team building it If you are thinking serious

linkedin.com/posts/alexhammett_whats-new-in-devin-platform-overview-desktop-activity-7473306406834737153-ez4JnotedJun 18, 2026

Cognition for Financial Services Event-Triggered Devin for Incident Resolution & Operational Resilience A governed engineering acceleration layer for regulated financial institutions. Underpinned by deep codebase understanding via DeepWiki, Devin compresses triage, root cause analysis, remediation, validation, and audit-pack generation. https://lnkd.in/eH_K3q2W #FinTech #FinancialServices #EngineeringLeadership

linkedin.com/posts/alexhammett_event-triggered-devin-for-banks-activity-7438231729770962944-nK0pnotedMar 13, 2026

There’s a growing conversation in banking about how analytics teams scale. - https://lnkd.in/eu22BUUc Across retail banking, payments, risk, and regulatory reporting, the demand for insight continues to increase, while experienced analytical capacity remains constrained. Investigations take time, teams are stretched, and critical knowledge is often concentrated with a small number of individuals. That’s the gap Dana is designed to address. Dana is an AI data analyst built on top of Devin, Cognition’s autonomous software engineering agent. Where Devin operates as an autonomous engineering co

linkedin.com/posts/alexhammett_build-your-own-ai-data-analyst-part-1-activity-7421538023886036993-EKpknotedJan 26, 2026

Infosys × Cognition: a glimpse of where software delivery is heading Infosys is not just trialling AI tools on the margins. They are bringing Devin, an autonomous AI software engineer, into everyday delivery, both internally and with clients. That is a meaningful shift. For a long time, enterprise software has been held back by the same issues: ageing systems, slow modernisation, stretched teams, and growing technical debt. What is changing now is that AI can take on real engineering work, analysing code, making changes, testing, and documenting, alongside people. What I like about this is

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Published: 2025-06-25T10:29:36.751Z Modernising your applications to a Modern Database like MongoDB with Windsurf: Coming from MongoDB, one of the biggest challenges organisations faced was dealing with ageing legacy databases, often characterised by complex stored procedures and a critical lack of documentation and institutional knowledge. Windsurf can significantly streamline efforts to modernise these systems. The transition to a modern database such as MongoDB is greatly eased with Windsurf, primarily due to its integration with the MongoDB Model Context Protocol (MCP) Server. 1) Schem

linkedin.com/posts/alexhammett_modernising-your-applications-to-a-modern-activity-7343586155805761537-vI7dnotedJun 25, 2025

Most coding benchmarks still ask a fairly narrow question: “does the code work?” But in real production environments, that is only the beginning. The harder question is whether a maintainer would actually merge the PR: whether it is idiomatic, well-scoped, tested properly, aligned to the codebase, and good enough to live with over time. Cognition’s new FrontierCode benchmark is an important step in that direction, moving evaluation from simple correctness towards the kind of engineering judgement that makes software maintainable. Worth reading for anyone thinking seriously about where AI codin

linkedin.com/posts/alexhammett_introducing-frontiercode-activity-7469847151418781696-HtOhnotedJun 8, 2026

Core banking platforms are increasingly adopting an event-driven approach, which brings both opportunities and challenges. Key signals arise from: - Smart contract changes - Configuration updates - Ledger postings - Production anomalies The real challenge lies not in generating change, but in confidently understanding its downstream impact. In modern core environments, especially real-time ledger systems, the cost of validation can escalate faster than the pace of delivery. A minor rule change can create significant ripples through posting logic, balances, integrations, and reporting. The en

linkedin.com/posts/alexhammett_devin-the-autonomous-software-engineer-activity-7434680832482721792-aIsBnotedMar 3, 2026

What if your AI could ship work, not just suggest code? Explore the Devin Use Cases Gallery - prompts and examples that show how teams are automating incident response, feature dev, migrations, analytics, and more with Devin. Try them in your own workflow. https://lnkd.in/edg5aSjX

linkedin.com/posts/alexhammett_use-cases-devin-docs-activity-7433108074309066752-rFY7notedFeb 27, 2026