AI Native Dev - New York
The AI Native Dev community will host a New York meetup on 16 September from 18:00 to 22:30 EDT at 111 W 19th St, featuring two talks on multi-agent software development. Guy Eisenkot, Co-Founder & CE…
The AI Native Dev community will host a New York meetup on 16 September from 18:00 to 22:30 EDT at 111 W 19th St, featuring two talks on multi-agent software development. Guy Eisenkot, Co-Founder & CE…
Tessl AI Limited will host a London meetup on 29 September titled "AI ROI: Why the Agent Isn't the Answer," featuring two talks arguing that AI agent returns are limited by context and measurement rat…
Tessl will host the AI Native Dev community meetup on 30 April from 17:00 to 20:00 GMT+1 at Tessl AI Limited in London, featuring three technical talks on real-world AI performance. Tessl member of te…
Tessl founder Guy Podjarny, who previously created the developer security platform Snyk, will speak at a fireside chat on 8 April at incident.io's London office at 66 City Rd, discussing how AI is res…
AI Native DevCon LDN, a conference hosted by Tessl for developers building AI-native systems, will be held on 1 June from 07:00 to 17:00 GMT+1 at The Brewery in London, UK. The event features three tr…
The AI Native Dev community will host a meetup at Picnic HQ in Amsterdam on 23 September from 19:00 to 20:00 GMT+2, featuring a talk titled "Skills are the new Code" by Guy Podjarny, founder and CEO o…
Rod Johnson, creator of Spring, will introduce Embabel, a new Kotlin-built agent framework for Java and Kotlin developers, at a vJUG Connect and London Java Community event on 9 April at 6:45pm GMT+1,…
AI DevCon NYC returns to 5-2-A at Industry City in Brooklyn for two days starting 2 November, running 11:00–18:00 EDT, with a 2026 focus on scaling AI-native development beyond the individual across t…
TypeSafe's new decision model Jev ran Tessl's verifier suite 13.6x faster and 2.7x cheaper than GPT Luna 6, according to an evaluation Tessl published against its internal production code. Across six …
Tessl completed a SOC 2 Type II audit conducted by independent auditor A-Lign, the company announced. The audit covers access controls, continuous infrastructure monitoring and incident response, empl…
At AI Native DevCon London, Netlify's Dana Lawson introduced "agent experience" (AX), a design discipline for the point where humans and AI agents collaborate, citing IDC's prediction that more than 5…
Docker CTO Justin Cormack reported that building an S3-compatible object storage system with AI assistance produced a roughly 350,000-line Rust codebase validated by about 1,500 tests run against Amaz…
Robert Overweg, speaking from his AI visual and production studio Leapfrog, described building a "one brain" organizational memory system that makes company knowledge, client context, meetings and dec…
Security researcher Liran Tal told AI Native DevCon London that agent skills are supply chain components that need the same review, provenance, scanning and update discipline applied to package ecosys…
Edouard Maleix argued in an AI Native DevCon talk that agent teams need a "knowledge factory" with attributed mistakes, provenance and measured corrections to stop paying repeatedly for the same failu…
AI coding agents are generating more pull requests than engineering teams can trust, shifting the bottleneck from code generation to code review, according to Shachar Azriel's AI Native DevCon London …
Tessl is promoting "context-driven factories," a method for agentic software development that defines team workflows and standards in plain context files and plugins rather than in code, following the…
Organizations pursuing agentic transformation should decide who owns the context, workflows, processes, and artifacts that steer AI agents, because leaving that ownership implicit produces either a ce…
GitHub Next researcher Don Syme proposed adding a third pillar, "Continuous AI," to CI and CD, describing it as automated or semi-automated AI workflows triggered by repository events or schedules. Sy…
Feedback Loop Engineering is a practice for making software projects agent-ready by designing three tiers of loops around autonomous coding agents: an inner loop over a single change (tests, typing, l…