AI can write code. What does it take to ship?Join AI DevCon, Nov 2-4
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Explore how coding agents transform code review processes by increasing PR volumes, highlighting the need for agentic workflows to handle rapid development cycles.
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AI agents struggle with incomplete data, not intelligence. Building effective memory systems is crucial for agents to navigate organizational knowledge accurately.
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Tessl's context-driven code review integrates with software development, improving code generation and maintenance by learning from past reviews and enhancing standards.
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Explore how context-driven software factories enable agents to handle complex tasks, requiring engineering practices to ensure reliable decision-making and automation.
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Curating a conference is an interesting way to see where an industry is heading, because the program tends to reveal which questions have already become accepted and which ones people are only star...
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Jev, TypeSafe's new decision model, is 13.6x faster and 2.7x cheaper than GPT Luna 6 for Tessl verifiers, offering a cost-effective and efficient solution.
NOVEMBER 2 – 4
AI DevCon is heading back to NYC! The best place to master agentic coding. For the developers and teams building with agents. Two days in Brooklyn for the people putting agents to work in real codebases. AI DevCon brings together developers, engineering leaders, and teams using agentic coding in practice. For 2026, the focus is scaling AI-native development beyond the individual: across teams, codebases, and platforms. Expect real-world AI engineering, practical dev tooling, and hands-on sessions from the people shipping with agents. Real-world AI engineering. Straight from people shipping it. Practical dev tooling. Things you can use on Monday. Hands-on sessions. Not slideware. Help shape AI DevCon. CALL FOR PAPERS Agentic coding is the norm. We want deep, technical talks on harness engineering, agent enablement, software factories, and scaling AI-native development. Submit a talk -> Sponsor AI DevCon Direct access to the developers and technical leaders shaping how AI agents get built, governed, and scaled. These are the teams deciding which tools they adopt. More speakers, agenda details, and exciting announcements coming soon. See you in NYC! 🗽 Check out the official AI Native DevCon site - https://ainativedevcon.io/
Your 2-min weekly roundup of AI dev news, tools, curated content and events.
Read by engineer leaders at
Jacob Lauritzen: Token Maxing Is the New Lines of Code
AI writes almost all of Legora's code. So why does its CTO think token maxing is a mistake, and why should litigation strategy stay a human call?
6 Oct 2026 · 44 min 21 sec
Liz Fong-Jones: 2x the PRs, 1.5x the Incidents
Honeycomb doubled its pull requests with AI and incidents rose 1.5x. Liz Fong-Jones on automated code review, owning AI output, and when agents can run production.
29 Sept 2026 · 49 min 37 sec · with Liz Fong-Jones
Dexter Horthy: Why We Stopped Trusting AI to Write the Plan
HumanLayer's Dexter Horthy staked his team's codebase on trust the plan, skip the code. Four months later it was unusable. Here's what changed his mind.
22 Sept 2026 · 56 min 10 sec
AWS's Marc Brooker: Specs, Not Code, Are the Hard Part
Marc Brooker (AWS) has read up to 4,000 postmortems and concluded code was never the hard part. He tells Simon why testing and specs are now the real work.
16 Sept 2026 · 56 min 48 sec · with Marc Brooker
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