Nearform @nearform

Welcoming Deepak Vensi as Global Head of Consulting. Deepak will lead the integration of our Sales, Solutions, and Delivery capabilities and drive a consulting-led approach to help our enterprise clients navigate the complexity of AI solutions. nearform.com/news/nearform-…

A warm welcome to @clifcunn, joining Nearform as SVP for Advisory & Alliances. Former CTO at MailOnline and a familiar voice in the Node and open source communities, Clifton will advise CTOs and lead our AI alliances with Anthropic, OpenAI, and AWS. >> nf.ie/4xkXY1hc

Our next Future Form meetup examines what happens when agentic systems meet production realities. Join us in London for some honest discussions and lessons from people running #AI systems at scale. Pizza and refreshments included. Register >> luma.com/vg78nol1

"The agents weren't broken, they were missing context." BMad creator Brian Madison on the late-night breakthrough behind the framework. Nearform's Head of AI, Cian Clarke, caught the full conversation. >> nf.ie/4e26KZ5 #BMAD #SDD

Day 2 of DevCon is shaping up to be another great day. We've highlighted a few Tessl (@tessl_io) sessions worth adding to your schedule : • Harness Engineering Beyond Code with Marc Sloan • From Vibes to Metrics with Simon Obstbaum & Rob Willoughby • Don't Write Prompts, Write Software with Baruch Sadogursky (@jbaruch) & Macey Baker (@macebake) Plus sessions from Ian Thomas (@Meta), Shaun Smith (@huggingface), Katie Roberts (@nearform), and other leaders helping define the future of AI-native engineering. Swipe through and start planning your day. Visit tessl.io/devcon/ for more.

Looking for a concrete playbook to scale AI adoption within your company?😎 At TechLead Conf, @alfonso_graz, Tech Lead at @nearform, will share their blueprint for structuring the AI journey. Catch this talk in Amsterdam!

Our latest article covers how to apply BMad's agentic workflows to real brownfield codebases. 💡 What if your team could get up to speed on a legacy codebase in minutes, not weeks? 📖 Learn more >> nf.ie/4dzEHAa #SDD #BMad

Most teams don’t get to rebuild from scratch. They inherit the giant codebase. The fragile pipeline. The undocumented logic nobody wants to touch. Katie Roberts is joining AI Native DevCon London 2026 to talk about what AI-native engineering looks like in the real world, where technical debt already exists and systems can’t simply be replaced overnight. As a Technical Director and AI Native Specialist at Nearform ( @nearform ), Katie works with large organizations navigating the difficult transition from experimentation to practical adoption. Her focus is on helping teams modernize safely inside mature environments where reliability matters as much as speed. Her session, Stop Maintaining, Start Evolving, reframes AI not as a shortcut for building new systems, but as a tool for reclaiming old ones. What this session explores • Why most AI-native conversations ignore brownfield reality • How to apply the Strangler Fig Pattern using AI-assisted workflows • Techniques for documenting and testing unknown legacy behavior • Ways to isolate risky parts of a codebase for safer evolution • How AI can help reduce technical debt instead of accelerating it This is a practical session grounded in enterprise engineering, delivery risk, and long-term sustainability, not just rapid prototyping. If your team is trying to modernize existing systems without breaking everything around them, this talk will feel immediately relevant. Join us in London or online: tessl.io/devcon/ (use AIND-X-BB-20 for 20% discount)

Most teams are still using AI coding tools like better autocomplete. Alfonso Graziano and Steve Goode from Nearform ( @nearform ) are running a hands-on workshop at AI Native DevCon London 2026 focused on what happens after prompting: building production-ready systems with Spec-Driven Development. Because the hard part isn’t getting AI to generate code anymore. The hard part is making sure the right thing gets built consistently. Their workshop, Spec-Driven Development: From Prompting to Production-Ready Systems, focuses on treating specs as real engineering artifacts, not throwaway documentation. Over 90 minutes, attendees will take vague requirements, turn them into structured specifications, and use those specs to drive reliable implementation with AI-assisted tooling. What this workshop covers • How to write specs that reduce ambiguity instead of creating more of it • Why “good prompting” is not enough for production systems • Practical workflows for validation, refinement, and execution • Techniques for keeping implementation aligned with intent over time • How to use AI as an executor of specifications, not a replacement for engineering judgment Alfonso brings deep experience across AI systems, distributed architecture, and engineering leadership, while Steve leads AI-native engineering enablement across Nearform’s teams and client engagements. This is not a theory session. You’ll leave with workflows, templates, and practices you can apply immediately to real projects. If your team is trying to move from fast demos to reliable delivery with AI-assisted development, this workshop will give you a practical framework for doing it properly. Join us in London or online: tessl.io/devcon/ (use AIND-X-BB-20 for 20% discount)

We break down what actually changes when you adopt SDD - the productivity gains, the real tradeoffs, and how to start without a full framework. Read here >> nearform.com/digital-commun…

AI coding agents move fast when the context is already there. Our latest article on porting a healthcare app solo with GitHub Copilot is worth reading if you work with AI on brownfield projects. >> nearform.com/digital-commun… #AINativeEngineering

Our AI Tech Lead @alfonso_graz has a book in Early Release on @OReillyMedia - and the first two chapters are free to read. Grab a free 30-day O'Reilly subscription with the discount code learning.oreilly.com/get-learning/?… #AINative #Nearform

✔️ A six-month scope shipped in just over eight weeks ✔️ 4x faster than a competitor's estimate ✔️ Reports cut from days to hours That's spec-driven development in practice. 📖 Read the full article >> nf.ie/49xx4J8

We're proud to be an AI-native sponsor of the Community Stack Northern DevOps & Platform Conference in Leeds on May 19th. A full day of platform engineering, #DevOps, and AI-driven operations for practitioners and leaders. 🎟️ Secure your ticket >> ti.to/communitystack…

⚡️ 0.35 to 0.81 in three sprints. No model changes, just better infrastructure. We just wrote the guide on building observable, reliable #AIagents in production. Read more >> nf.ie/3NBHJuZ #AINativeEngineering #AIEngineering @mastra

What breaks when agents become part of your team? Find out at our next #FutureForm meetup in London. Two practical talks on agentic systems in production. Free to attend. Register >> luma.com/zqx555uo #TechMeetup #LondonTech #AgenticAI #Nearform

Nearform AI tech lead Alfonso Graziano has launched a free 7-day curriculum to help you become an AI-native engineer in one week. It's practical, opinionated, and built by someone who does this work every day. 💡 Learn more >> alfonsograziano.it/book#learning-… #AINativeEngineering #AI

Stop asking AI to guess. Nearform's Head of AI, Cian Clarke, in @techzine on why vibe coding creates more work than it saves and what to do instead 👇 techzine.eu/blogs/analytic… #SpecDrivenDevelopment #SDD

We're excited to be an event partner for @tessl_io AI DevCon Spring '26 🙌 2 days of talks on context engineering, agent orchestration, and AI-native workflows. Use code NF30 for 30% off Blind Bird tickets 👇 >> nf.ie/3PA4X51 #AIDevCon #AINativeEngineering #SDD

Plan mode is a good start, but it only serves the developers. @lucalanziani explains how the #BMAD method brings the whole team (PMs, architects, scrum masters) into the same AI-driven workflow. 👇 >> nearform.com/digital-commun… #AINativeEngineering #AIEngineering #SpecDriven