
Mission Control for the AI Software Factory | The Engineering Operations Platform trusted by world-class organizations. (@ycombinator W20)
Joined August 2019
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👀 The video speaks for itself, but the blog has so much more!
Check out the blog to learn what we have planned next. ⤵
cortex.io/post/announcing-se…
Every org rolling out coding agents has to build or buy a software factory. We built ours and open-sourced it.
engrams runs Claude Code, Codex, or your own agent in a microVM on your infra.
Our CTO and Chief Architect walk through it live Nov 10, 9am PT: cortex.registration.goldcast…
The hardest part of engineering is everything around the code, and AI is making it harder. Our job is to stay close to the leaders who deal with that every day. Grateful this review on G2 picked up on it.
g2.com/products/cortex-io-co…
Cortex retweeted
Today at @GetCortexApp we’re excited to announce that we’re open sourcing engrams (engramsfactory.com/) - our self hosted, software factory built for enterprise needs. It’s a bring-your-own-harness alternative to Devin (by @cognition ) and @FactoryAI - you get 80% of the value with 100% less of the drama ( iykyk 😂 ).
What does engrams do and why should enterprises care?
Engrams is exactly what you’d expect from an ADE / software factory platform like Devin, Factory, Ramp’s inspect, etc – except it’s fully open source.
It’s the most powerful open source factory available in the market today. It has:
- long-lived, space-efficient, compute-efficient sandboxing/VMs for agents w/ credential brokering for secrets
- embedded browser for human or agent use and preview environments
- native IDE in every session
- automations framework
- slack integration
- LLM gateway support
- multi-player mode
- harness-agnostic artifact sharing
- so much more
Enterprises care about cloud-agent software factories to manage risk, they want to avoid being locked into one lab like Anthropic or OpenAI. Engrams enables lets you be not just model agnostic, but *harness* agnostic as well – bring Claude Code, Codex, or any other harness you want!
This seems too good to be true, why is Cortex open sourcing something that we’ve seen enterprises pay 7-8 figures for? Why not sell it as a product?
Our belief is that in many cases the harness / ADE layer is going to be very quickly commoditized. Companies like Ramp are building their own. Both building and buying is leading to the exact same product capabilities.
What we believe will be more important than ever is the AI governance and adoption layer. It’s easy to generate code but building an engineering org that can actually deploy and operate it in confidence is the hard part. It’s easy to “build an agent” but safely deploy it in your SDLC and ensuring it has the right context and governance to meet your standards is the hard part.
This is where the Cortex platform comes in – if you care about governance, quality, cost, and building a great engineering org, that’s when we make money. Not by selling tokens as a commodity. We hope to be a part of your journey with Engrams as you build your AI native SDLC.
We announced this at Evolve and several of our larger enterprise customers are currently working on migrating from other software factories - which will save them 6-7 figures on average in the migration. We’re happy to help you with this - reach out to me directly!
New Feature Friday: arrays of primitives in Workflow User Inputs.
Get the array your workflow needs, without the object (or the transformation step) in the way.
Solution Architect Jeff Schnitter has the walkthrough.
Every reliability dashboard hits the same wall: zoom into the metric that's breaking, and the rest of the system disappears from view. KPI cards in Engineering Intelligence fix that. Compact cards for what's steady, full-size charts for what's not.
Most search bars are just filtered lists. We rebuilt Catalog search into a real query language: Boolean operators, autocomplete, and automatic fallback suggestions when your query comes up empty. Feature Friday demo from Keith Zeto (Lead Platform Engineer):
New in Engineering Intelligence: enhanced filters.
Exclude values, catch nulls, wildcard match, filter by PR size or cycle time, drop weekends from time ranges, and set scope once at the dashboard level.
Christine Byun walks through it for this week's Feature Friday:
The World Cup is down to the final two and so is Cortex's Coming Home Dashboard.
This #NewFeatureFriday, Cristina walks through tabular views (now in public beta) for tracking scorecards and operational maturity across services.
Reach out to your CSM to try it.
Cortex Scorecards + DRIVE: know your engineering org's health, not just its output.
With bronze/silver/gold scorecards for delivery, reliability, initiatives, vigilance, and efficiency.
Docs: cortex.io/drive
GitHub rule sets are now supported in Cortex scorecards. And your existing branch protection rules? Already covered.
Watch this week's Feature Friday 👇
#NewFeatureFriday #GitHub
AI is producing code faster than engineering orgs can absorb it.
Today we're releasing DRIVE: a framework that measures whether your org can actually keep up, across delivery, reliability, initiatives, vigilance, and efficiency.
Take the assessment: cortex.io/drive/assessment
Happy Feature Friday!
We just dropped Data Explorer with Tabular View in beta.
Compare metrics side by side, pull in scorecard data alongside your time series, and we tracked the World Cup with it.
Cortex Scorecards + Datadog: know exactly which services are production ready, and which aren't.
Senior Engineer Douglas Cooper walks through linking Datadog to Cortex and turning production readiness from a question into a checklist.
NYC for DASH? Or just in NYC?
Cortex + Spacelift + Infisical happy hour, Tuesday June 9th, 6:30 PM at our office rooftop.
RSVP: luma.com/nscbskgt
If you're in London for LeadDev this week, come decompress with us.
Cortex and incident.io are hosting a proper off-call night at Old Street Tavern on Tuesday, June 2 at 6pm.
Space is limited. Grab your spot: luma.com/ktb9zeeg
Your CI pipeline can now trigger Cortex Workflows directly.
No UI, no manual step.
Workflows Run API is in beta.
Cortex CLI v1.15.0+, pass context via JSON, run sync or async.
We outgrew our own conference. IDPCON is now EVOLVE.
Join us on Sept 24, 2026, in NYC for operator-led talks on production readiness, AI adoption, reliability at scale.
Apply to attend: evolve.cortex.io
#EVOLVE2026
Feature Friday:
Our Principal Product Manager Christine Byun walks through the new All Scorecards report.
See AI maturity, production readiness, incident prep, and every other scorecard side by side. Group by team or domain. Drill from heat map to a failing rule.
Every team ships feature flags. Nobody owns the cleanup.
Our VP of Product Kara Gillis used the Cortex AI Assistant in Slack to triage nearly 100 of our own LaunchDarkly flags: candidates for removal, flags needing review, a prioritized cleanup list.
What if you could measure the impact of an org change in 15 seconds?
Our new Slack AI Assistant does exactly that — pulling DORA metrics, incident data, and cycle times across every team to answer the questions engineering leaders used to wait weeks to get answered.
See it live at our Launch & Learn on May 13th 👇
cortex.registration.goldcast…




