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Microsoft data reveals that newer AI models with lower per-token costs can end up more expensive due to higher token consumption, challenging assumptions about upgrades.

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We just shipped the first version of Tessl Academy, a hands-on curriculum for building, evaluating, and running skills for coding agents. It's early. Two courses are up — Skill Foundations and Tuni...

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AI coding agents often repeat mistakes due to lack of systematic updates. Tessl Agent automates error detection and task optimization to improve efficiency.

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Explore how context is managed in multi-agent systems, focusing on Microsoft's use of the A2A protocol to maintain coherent communication across independent AI agents.

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Explore AI Engineering World's Fair 2026 with Tessl, featuring demos of Tessl Agent, discussions on agentic development, and the emerging field of Harness Engineering.

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The article explores the minimum model capacity needed for agent models to function effectively, highlighting the Nemotron family's performance on coding tasks.
JUNE 1 – 2
The conference for developers building real AI-native systems - agents, specs, workflows, and platforms, at production scale.
Your 2-min weekly roundup of AI dev news, tools, curated content and events.
Read by engineer leaders at

Inside Anthropic: How Claude Tag Is Changing Agentic Work
Anthropic's Lamis Mukta sits down with Simon Maple to explain Claude Tag, the AI teammate now writing the majority of Anthropic's own product code.
7 Jul 2026 · 57 min 28 sec · with Lamis Mukta

The Tessl Agent: Build Your Software Factory on Autopilot
Dru Knox, Head of Product at Tessl, joins the AI Native Dev to introduce the Tessl agent — and to explain why the best thing an agent can do is eventually make itself invisible.
30 Jun 2026 · 53 min 16 sec · with Dru Knox

Why Agents Are Forcing Enterprises to Finally Fix Their Dev Process
Most enterprises say they're adopting AI coding. What they're actually doing is installing tools and hoping for the best — and the agents are exposing every process shortcut they never fixed when humans were doing the work.
25 Jun 2026 · 01 h 00 min · with Patrick Debois

DevCon London: Real Talk on AI ROI, Harnesses & Evals
From the expo floor of AI Native DevCon London, Simon Maple went straight to the developers — speakers, attendees, and sponsors — to ask what's actually working with AI in 2026. The verdict? Outcomes beat outputs every time, 4,000-hour workloads are collapsing to 20 minutes, and the real bottleneck isn't code.
23 Jun 2026 · 23 min 39 sec
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