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Tessl's software factory ships work no designer has touched, which exposed what a design system cannot hand to an agent: composition, the judgment of what goes on a screen and what to leave out. By having agents diff generated screens against hand-redesigned ones, the team turned that tacit judgment into checkable rules and shipped them as skills that guide agents at creation and review. The result is one designer's taste, encoded once and reaching every screen the factory produces.
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Token prices don't reflect the true cost of AI models in code reviews. Turns and verified outcomes are better measures, revealing hidden expenses in agent workloads.
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The rise of the harness engineer highlights a new role in managing AI-generated code, focusing on maintaining quality and addressing increased bugs and production incidents.
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Explore feedback loop engineering, focusing on designing loops around agents to improve project conditions, enhancing autonomy and effectiveness in agentic coding.
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The article questions the reliance on AI coding assistants, emphasizing the importance of specification, verification, and tests in software engineering.
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Tessl Academy introduces Code Review Loops, a course on agentic code review, teaching skills like writing review lenses and handling pull requests in four concise lessons.
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
You Don't Need Juniors to Code. Hire Them Anyway.
Ran Aroussi says most "agentic" systems have none of the properties that make them agentic, and that you stopped needing juniors for their coding skills a year ago.
8 Sept 2026 · 52 min 21 sec · with Ran Aroussi
850 PRs a Week: How Tessl Runs a Software Factory
Tessl's factory peaked at 850 pull requests in a week, 85 to 90% of them agent-handled end to end. Dru Knox on what that actually took, and why the two biggest changes weren't the speed anyone was chasing.
2 Sept 2026 · 51 min 17 sec
Lada Kesseler: I Trust AI Tests Less Than AI Code
Lada Kesseler trusts AI-written tests less than AI-written code, and thinks most teams chasing a software factory are about to drown in garbage. On ground rules, loop engineering, and refining your way to quality.
25 Aug 2026 · 45 min 49 sec · with Lada Kesseler
Every Repo Is a Software Factory Now | Don Syme, GitHub
Don Syme on why every repo is becoming a software factory, why guardrails let you run faster, and why no pull request should reach a human reviewer unless the quality gates have already earned its place.
18 Aug 2026 · 01 h 04 min · with Don Syme
The Background Check You Can't Run on an AI Agent
Non-determinism is the feature and the bug. Keycard's Ian Livingstone on why agent identity breaks everything OAuth assumed, and the new layer that has to replace it: mission.
11 Aug 2026 · 47 min 44 sec
Datadog Deleted All Its AI Context. It Worked.
Datadog deleted a year of AI context files expecting worse performance. Instead, their evals got better. Simon Boudrias on scaling Cursor and Claude Code to 4,000 engineers, and what that taught them about context rot.
4 Aug 2026 · 01 h 01 min · with Simon Boudrias
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