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How-to guide

How to Stay Updated on AI as a Software Developer — Without the Noise

Published July 3, 2026

Another Tuesday, another AI SDK — the third one this week just landed in your team's Slack. Meanwhile, the API you actually call in production quietly deprecated an endpoint, and you nearly missed it.

Good news — you're in the right place! Setting this up takes about two minutes, and the first edition is free.

In this guide, I'll show you how to stay updated on AI as a software developer using MorningMail, a tool I built. Every morning, an AI agent searches the web and writes you a short email: real releases with version numbers, papers with benchmarks, primary sources — no hype threads.

So, let's dive in — it's really easy!

Try it yourself — your first edition is free →

What you'll build

How to Stay Updated on AI as a Software Developer — Without the Noise — AI developer tools · What shipped

Generic AI newsletters write for everyone at once — marketers, researchers, your CTO. None of them care that you build on a specific runtime with specific SDKs, and that one minor-version bump matters more to you than any keynote.

MorningMail flips that. You write one instruction — like a ticket for a sharp colleague — and every morning an agent searches the web from scratch and writes the email itself. It's not a link forwarder like Google Alerts: it reads, filters, and reports back with sources you can verify in one click.

And your prompt carries your context permanently. Adopt a new framework tonight? Add its name, and tomorrow's edition covers it. Your reading list becomes one sentence you maintain — not thirty subscriptions.

See it live: yesterday's edition

So here's a real example. This is yesterday's edition of exactly this newsletter — written by the agent yesterday morning, based on the example prompt from this guide. Not a mockup: I run it myself on MorningMail.

Edition from July 6, 2026

AI developer tools · What shipped
Monday, July 6, 2026
AI developer tools · What shipped

Claude Fable 5 leads again, coding agents shift to iterative eval

1 min read

Fable 5 benchmark dominance

Anthropic's lead just got harder to shake.

Claude Fable 5 now scores 161 on Epoch's Capabilities Index, a single point ahead of GPT-5.5 Pro—and the margin matters less than the pattern [Quelle: Epoch AI]. Epoch expanded the index to include seven new evaluations drawn from 13 fresh benchmarks added this month, covering agentic work, cybersecurity, algorithm engineering, forecasting, and research-level physics. The evaluation surface keeps widening, and Fable 5 leads across the refresh.

Watch whether this reflects actual production preference or benchmark gaming.

EvoPolicyGym: iterative agent testing

Code agents are now measured by their learning speed, not one-shot output.

Researchers released EvoPolicyGym, a benchmark that scores agents on autonomous policy refinement over 16 environments with strict feedback budgets and held-out validation cases [Quelle: LetsDataScience]. GPT-5.5 ranked strongest across the Core-16 suite. The GitHub repository includes adapters for Claude Code and other agent CLIs, making it portable across stacks and emphasizing exploration-exploitation tradeoffs over raw generation speed.

This pattern—feedback loops over snapshots—signals how real agent deployment is measured.

Transformers v5.13.0 ships 8 new models

Hugging Face released a wave of specialized coding and multimodal models.

Transformers v5.13.0 added Kimi 2.5-2.7 (multimodal agentic with Rust, Go, Python), MiMo-V2-Flash (27T-token MoE with 256K context), Nemotron 3.5 ASR (600M multilingual speech), Qwen3 ASR, ZAYA1 (760M/8.4B MoE), VideoPrism (31/33 benchmark wins), RADIO (NVIDIA distilled vision), and MiniCPM3 (4B beating 7B-9B models) [Quelle: GitHub]. Breaking changes standardize layer declarations for ONNX and torch.export compatibility. The release signals consolidation: agentic capabilities, long-context MoE, and cross-modal perception in library-ready form.

DeepSeek V4 Flash now leads real-world coding usage on OpenRouter at 5.46T tokens.

Sources
Data on AI Capabilities and Benchmarking - Epoch AI
Data on AI Capabilities and Benchmarking - Epoch AI
9 hours ago ... Our database of benchmark results, featuring the performance of leading AI models on challenging tasks. It includes results from benchmarks evaluated ...
epoch.ai
AI Summary

Claude Fable 5 achieved a new high score of 161 on the Epoch Capabilities Index, surpassing GPT-5.5 Pro by 1 point and marking the first time Anthropic has led the index in over a year. Epoch AI recently expanded its benchmarking hub by tracking 13 new evaluations, with 7 incorporated into the Capabilities Index, while also adding nine external benchmarks covering agentic work, cybersecurity, algorithm engineering, forecasting, and research-level physics as of late June 2026.

Visit source
Releases · huggingface/transformers - GitHub
Releases · huggingface/transformers - GitHub
20 hours ago ... AI CODE CREATION. GitHub CopilotWrite better code with ... feat: Add support for JetBrains' Mellum v2 code generation model (#46112) by @shadeMe in #46112 ...
github.com
AI Summary

Transformers library v5.13.0 released with major model additions including Kimi 2.5-2.7 (multimodal agentic model with advanced coding capabilities across Rust, Go, Python), MiMo-V2-Flash (27T token MoE model supporting 256K context), Nemotron 3.5 ASR (600M multilingual speech model with configurable latency tradeoffs via 80-1120ms chunks), Qwen3 ASR (Whisper-style encoder with Qwen3 decoder supporting automatic language detection), ZAYA1 (760M active / 8.4B total MoE model with compressed convolutional attention), VideoPrism (video encoder achieving state-of-the-art on 31/33 benchmarks across question answering and vision tasks), RADIO (NVIDIA vision foundation models via multi-teacher distillation), and MiniCPM3 (4B dense model outperforming 7B-9B models using Multi-head Latent Attention). Breaking changes include standardized layer declarations for ONNX/torch.export/ExecuTorch exportability and fixed attention masking for Gemma 3/4 models.

Visit source
Researchers Release EvoPolicyGym For Autonomous Policy ...
Researchers Release EvoPolicyGym For Autonomous Policy ...
22 hours ago ... ... code generation. Agent evaluation is moving toward the part of automation that static benchmarks miss: how a system uses feedback after its first attempt ...
letsdatascience.com
AI Summary

EvoPolicyGym, introduced in an arXiv paper on July 2, presents a new benchmark for evaluating autonomous coding agents through iterative policy evolution. The framework separates visible training feedback from hidden validation and held-out test cases, enabling agents to learn from failed attempts in a controlled environment with server-mediated rollouts and strict budgets. GPT-5.5 achieved top performance across the Core-16 benchmark suite, and the GitHub repository provides infrastructure, protocol documentation, and adapters for multiple agent implementations including Claude Code and Codex CLI, offering a pattern for long-running agent evaluation that emphasizes exploration-exploitation tradeoffs and reproducible feedback loops.

Visit source
Compiled overnight by MorningMail.aiDelivered at 07:00
Take this newsletter into your library

One click creates your own editable copy — change the prompt, the delivery time, everything.

Browse all editions →

You could get this general version into your inbox right now — and then fine-tune it to your very specific needs. Here's how to do it:

Step by step: from zero to your first edition

The whole setup takes about two minutes. And every screenshot below comes straight from the real product — nothing is mocked up.

  1. Step 1 Open morningmail.ai

    Head over to morningmail.ai. You'll see a sample edition and the Compose button — that's your entry point. Nothing to install; everything runs in the browser.

    Open morningmail.ai
  2. Step 2 Create your free account

    Sign up with your Google account. Every new account comes with a free first edition built in — so you can send yourself a real email before paying a cent.

    Create your free account
  3. Step 3 Create your first template

    A template is the blueprint of your email: name, delivery time, recipients, and your content sections. Click "New template" and the builder opens with a live preview right next to the editor. Everything saves automatically — there is no save button to forget.

    Create your first template
  4. Step 4 Add a news section

    Click "Add section +" and pick "News topic". You'll see six starters — real, editable prompts for a city, a sports club, a company, a tech topic, a professional field, and a personal interest. Pick one, and you're thirty seconds away from a working brief.

    Add a news section
  5. Step 5 Make it yours: AI developer tools

    Pick the "Tech topic" starter card and type AI developer tools into the highlighted field. The card rewrites its prompt live as you type, so before you save anything, you can read the exact instruction your agent will run tomorrow morning.

    That prompt is already strict: releases with version numbers, papers with benchmarks, repos crossing real thresholds — no hype threads, no leaks, primary sources linked. It gets sharper with your stack in it. I'd append something like: "I ship TypeScript on Node and call the Anthropic and OpenAI APIs in production. Flag SDK breaking changes, deprecation timelines, and anything that moves context windows or per-token pricing."

    Make it yours: AI developer tools
    The exact prompt your section starts with
    For a senior engineer who already reads HN. Real changes in AI developer tools today: releases with version numbers, papers with benchmarks, repos that crossed a threshold worth knowing. Skip hype threads, pre-announcement leaks, and recycled summaries. Always link primary sources.
  6. Step 6 Set your delivery time and send yourself a test

    Almost there! Choose when the email should arrive and add your address as a recipient. Hit "Send test" — your first edition is free — and check your inbox. If something reads off, tweak the prompt and send again. Then flip the template to Active. Congratulations — you've just built your own morning brief!

    Set your delivery time and send yourself a test

Get more out of your brief

Name your dependencies, not your interests
"AI news for developers" is a mood; "changes affecting LangChain, the Vercel AI SDK, and the Anthropic TypeScript client" is a filter. The agent searches against your words every morning. The more your prompt reads like a package.json, the closer the brief tracks your real exposure.
Make version numbers a hard requirement
A story with a version number and a changelog is something you can act on in a pull request. A story without one is marketing. If the brief ever drifts, add "no announcements without a shipped artifact" to the prompt.
Ask for the migration cost, not just the release
Append "for each release, one line on what upgrading would touch" to your prompt. That single line turns the brief into standup input: you know whether a bump is a lockfile change or a refactor before anyone opens the changelog.
Schedule it before your standup, weekdays only
Every template has a delivery time and selectable weekdays. I'd pick 7:30, Monday to Friday: the brief lands with your coffee and is still fresh at standup — and your Saturday stays release-note-free 😊
Add a TLDR section on top for busy sprints
Stack a TLDR synthesis section above the news module and set it to three bullets. On heavy days you read only those; on quiet days you scroll into the detail. Length and tone are configured per section, so the summary stays terse while the deep dive stays deep.

Good sources to anchor your brief on

The agent searches the open web every morning and cites where it read things. These are the sources I'd point it at in your prompt:

  • GitHub release pages of your core dependencies — The ground truth for what actually shipped: version numbers, breaking changes, migration notes. A good brief cites the release tag itself, not a blog post about it.
  • Anthropic & OpenAI API changelogs — Where deprecation timelines, model snapshots and pricing changes appear first — the quiet entries that decide whether your integration keeps working.
  • Hacker News — Still the fastest filter for what working engineers take seriously. Treat it as a traction signal and follow its links to the source.
  • Simon Willison's Weblog — The reference practitioner log for LLM tooling — hands-on evaluations of new models and APIs within hours of release, with reproducible examples.
  • arXiv (cs.SE / cs.AI) — Where benchmarked capability claims live before the marketing does. Relevant when a paper's numbers, not a press release, should decide your architecture.
  • Latent Space — Engineering-first coverage of the AI tooling ecosystem — good for the why behind releases and which abstractions are actually winning.

Frequently asked questions

What does a daily brief cost?
The first edition is free — no credit card. After that, each send costs a few credits per section, priced by the AI model tier that section uses. Unused credits never expire, so pausing for a sprint costs you nothing.
Why not just use Google Alerts for this?
Because Alerts mail you links, and the triage is still your job — "AI developer tools" as a keyword drowns you in press releases. MorningMail's agent searches fresh each morning, discards the hype, and writes the email itself, version numbers and primary sources included.
Can I pin the brief to my exact stack?
Yes — the prompt is plain, editable text. Name your frameworks, SDKs, even individual repositories, and the agent searches against those exact terms every morning. When your stack changes, you change one sentence.
How does it avoid recycled hype?
The starter prompt bakes the filter in: versioned releases, benchmarked papers, repos crossing real thresholds — and an explicit instruction to skip hype threads, leaks and re-summarised summaries. Every claim links its primary source, so you can audit any story in one click.
Do I have to get it every day?
No. Each template has a delivery time and selectable weekdays — I'd start with Monday to Friday before standup. A weekly Monday digest works too if daily feels like too much.

Your inbox, your editor

Build your own AI-written brief in two minutes. The first edition is on me — no credit card required.

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I am always happy to answer questions and I'm open to feedback. Feel free to reach out at any time: marius@morningmail.ai