Irteza

Leading AI Transformation for Private Equity, and Real Estate for the last 3 years.

[Adib Mohsin @adib_builds]

Atlas makes your existing coding agents more smarter.

Here's how I have hacked my coding agents more efficient while writing fewer prompts.

> Atlas automatically indexes coding agent memories
> Every coding agents I use share each others memory, Atlas takes care of that.

[Irteza @Irrteza]

@goziemabuah What’s your personal workflow/decision system?

[Irteza @Irrteza]

@businessbarista ai

[Irteza @Irrteza]

@Jacobsklug MACHINE

[Irteza @Irrteza]

@yusuff_hamza Damn this entirely replaces modash!

[Irteza @Irrteza]

@alokbishoyi97 Hey, would love to hire!

[Irteza @Irrteza]

@realAkashAnand RESEARCH

[Irteza @Irrteza]

@tomcrawshaw01 AUDIT

[Irteza @Irrteza]

@jordan_ross_8F LFG

[Irteza @Irrteza]

@tomcrawshaw01 BLUEPRINT

[Irteza @Irrteza]

@Jacobsklug NATIVE

[Goziem Abuah @goziemabuah]

Update on some of the work we've been doing for Reyn: built a layer that sits on top of your screen activity and makes it queryable
ask it anything about what you worked on. it answers. Baically asked my computer what i was working on last tuesday at 2pm
it told me. exactly.
demo 👇 more to come, we've been beta testing a lot of cool functionality with this :)

[Irteza @Irrteza]

@goziemabuah Looks solid man! When are you rolling out access?

[Irteza @Irrteza]

@tokifyi A (include vancouver)

[Irteza @Irrteza]

@goziemabuah Excited for Reyn!

[Irteza @Irrteza]

@tokifyi @danielnieto_ damn when is it happening?

[Irteza @Irrteza]

@shensi @merge_api amazing

[Animesh Koratana @akoratana]

Introducing: PlayerZero

The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot.

We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more

PlayerZero frees up 30% of your engineering bandwidth by:
1.⁠ ⁠Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify.
2.⁠ ⁠Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find.

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Here's why this matters:

No one in your org has a complete picture of how your production software actually behaves.

Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand.

PlayerZero connects all of it into a single context graph -

→ The Slack thread where your lead said "we went with X because Y fell apart in prod last time"
→ The PR review where an engineer explained the tradeoff
→ The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets

So you can trace any problem to its root cause across every silo.

And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows.

So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly.

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Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth.

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Our guarantee:

If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice.

Book a demo - https://t.co/dH1dulIwSS

[Irteza @Irrteza]

@akoratana @matei_zaharia @pbailis @rauchg @zoink @drewhouston 100x

[Irteza @Irrteza]

@jamesclift Durable