Software & SRE. Done by the model.
Aether for software plans whole-repo edits, reads flamegraphs, writes the review and drafts the postmortem. Fifteen adapter surfaces — across editors, hosted agents, open-source clients and pair-programming runtimes — let your engineers stay in the IDE they already use.
What the model actually computes.
These are the workloads the AI runs in software & sre — rendered live in SVG. Each panel is the geometry the model is reasoning about, the physics it solves for, and the validation it lands against measured reality.
Aether is the AI doing the software & sre work.
Three things to know about the AI underneath every workload on this page. We aren't building a chat surface for your team — we are training a foundation model that plans, runs and reports.
The AI does the discipline
Not a chat interface over your engineers. A foundation model that plans the study, picks the method, runs the agents, validates against measured reality and writes the report. The same shape an experienced practitioner would follow — done by the model.
One model, your context
We don't ship a sibling model per industry. The same Aether weights serve every discipline, but the agents on top are trained against your standards, your historical data and your regulatory posture.
Reality is the regulariser
We train on simulation, instrument and design data — not scraped text. The model gets better the more reality it touches. Reality is what tells it when it's wrong.
Fern Platform Co..
“The senior engineers stopped pushing back the day it started reviewing diffs the way they would.”
One coding agent across every IDE surfaces.
The work, done by Aether.
These are the workloads Aether already runs in software & sre. Not a wish-list. Each ships with validated benchmarks and traces a senior engineer can read end-to-end.
- 01
Whole-repo edits
Planned changes scoped to a blast radius, executed across files, verified against your tests. Reviewer sees a plan, then a diff.
- 02
Cross-language migration
Python → Go, Java → Kotlin, JS → TS, Ruby → Python, C → Rust — semantics-preserving migrations with diffable steps.
- 03
Performance in-loop
Reads py-spy, perf, eBPF, Pyroscope flamegraphs. Proposes the change. Verifies the regression suite. Numbers go in the PR.
- 04
CVE-aware review
OWASP + CVE-indexed review on every diff. Findings ship with the proposed fix and the test that would have caught it.
- 05
On-call drafts
Reads logs, opens incidents, runs runbooks, drains traffic, writes the postmortem first draft — under your approval gates.
- 06
Migration playbooks
Service-mesh adoption, monorepo splits, framework upgrades — staged, observable, reversible.
“We are building the AI that does software & sre — not the one that talks about it. Aether doesn't ask your engineers to drive its solvers. It runs the work, validates the artefact and writes the memo.”
The stack today.
The typical stack in software & sre — a half-dozen seven-figure renewals stitched together with internal glue code. We replace the spine; we don't touch the niches that work.
The agents in the mix.
Aether coordinates these specialist agents for software & sre. Each is independently deployable, but the coordination — and the foundation model underneath — is what makes them more than a folder of scripts.
How we ship into regulated software & sre.
The pieces that matter to procurement, security review and the regulator. We ship into industries where the boundary is real and the audit is unforgiving.
SOC 2 Type II managed cloud, your VPC, or on-prem
CVE-aware review at PR time with patch suggestions in-line
Capability gating on every shell command and tool call
Atomic, revertible commits signed by agent ID and model version
Other companies shipping with us.
A slice of the customers we're allowed to name. The pattern repeats: one workload, one pilot, one comparison memo we co-author.
- Aerospace
Northwind Aerospace
Retired a $1.8M CAE renewal across two quarters.
62%wall-clock reductionRead the story - Drug discovery
Lyrebird Therapeutics
Closed the discovery loop on a fibrosis programme.
9 weekshypothesis → measured hitRead the story - Chip design
Helix Silicon
RTL to signoff on a 4nm SoC — without an incumbent-EDA renewal.
0EDA license serversRead the story
The AI is also running here.
A foundation model that serves twenty-two industries today. The same weights, different agents, different pilot patterns. Browse the ones nearest yours.
Questions about software & sre.
What does Aether replace in software & sre?
The incumbent stack here — Editor-embedded coding assistants, Long-horizon hosted coding agents, Hosted PR-review automation, Open-source autonomous agents and more — collapses into one model and one project file, with Aether for software and Aether for drug discovery doing the work under one safety story.
What outcomes should we expect?
15 (vendor adapters); +18% (PR merge velocity); −42% (review-cycle time) — scoped to your workload and measured against your own acceptance criteria.
How does a pilot work?
Three to eight weeks against a workload and a win condition you co-author. We run alongside your incumbent stack on real cases; if we aren't better on the metric by quarter end, the rest of the quarter is on us.
Can it deploy inside our boundary?
Yes — managed, in your VPC, on-prem or fully air-gapped on Aether Cloud, with the audit trail and provenance the regulated parts of this work require.
The AI is ready for software & sre.
Send us the workload that hurts. We'll come back with a scoped pilot — three to eight weeks, win condition co-authored. If we aren't better on the metric by quarter end, the rest of the quarter is on us.