Aether for software.
AI that retires the coding-agent stack.
Aether for software is what the incumbent editor-embedded coding agents collapse into when the model is the substrate. It plans whole-repo edits, reads flamegraphs, writes the review and drafts the postmortem — and ships with every adapter surface your team already uses — so your engineers stay in the IDE they opened this morning.
- IDE adapters
- Every
- Languages
- Every
- Review
- CVE-aware
- On-call
- First-class
What this actually does.
Each capability below is a real production code path. There are no autocomplete demos pretending to be planning.
Whole-repo edits, with judgement
Not a code-completion toy. Plans a change, scopes the blast radius, edits across files, then runs your tests and verifies the change does what it set out to do.
Real-time collaboration
Doc-style co-editing for engineers. Comment, review, accept, revert — together. Memory is shared across surfaces, so the agent's context is the same in every adapter.
Cross-language refactor
Python → Go, Java → Kotlin, JS → TS, Ruby → Python, Perl → Python, C → Rust — semantics-preserving migrations with diffable steps and behaviour tests.
Performance, in the loop
Reads flamegraphs from py-spy, perf, eBPF, Pyroscope, the observability suite. Proposes the change. Verifies the regression suite. Numbers go in the PR description.
CVE-aware code review
OWASP and CVE-indexed review on every diff. Findings ship with a proposed fix and the test that would have caught it.
On-call partner
Reads logs, opens incidents, runs runbooks, drains traffic and writes the postmortem first draft — under your approval gates.
Wherever your team already writes code.
One model. Every coding-agent surface. Aether meets your engineers in the IDE they already use — not in another web app to context-switch to. Memory and review history flow across surfaces.
The languages your monorepo already has.
Cross-language refactor is first-class. Migration between any pair below is semantics-preserving and diffable — your reviewer sees a sequence of steps, not a wall of generated code.
Issue to merged PR, in one autonomous pass.
The path most agents take through Aether — plan, edit, test, review, ship. Every step is observable and reviewable; no step is a black box.
- 01
Plan
Agent reads the issue, walks the repo, scopes the blast radius, and writes the plan as a checklist in the PR before touching a line.
- 02
Edit
Multi-file edits land as a single coherent change. Failed edits roll back; partial edits surface for review.
- 03
Test
Existing test suites run; new tests are added when behaviour changes; coverage deltas are reported.
- 04
Review
The agent drafts a review of its own diff, surfaces risks, and flags anything that should be split into a follow-up PR.
- 05
Ship
Merges behind your approval gates. Memory and decisions are persisted so the next change inherits the context.
The honest comparison.
Other coding agents are great at autocomplete and shaky at architecture. Aether is built around long-horizon edits — the work senior engineers actually do.
| Capability | Aether | Typical agent |
|---|---|---|
| Whole-repo edits across files | Yes — planned and scoped | Single-file completion |
| Cross-language migration | Every modern language, diffable | Mostly snippet rewriting |
| Performance profiling in-loop | Reads flamegraphs, verifies fix | Not in the loop |
| CVE-aware review | Indexed, with fix proposed | Generic linting |
| On-call runbooks + postmortems | First-class | Out of scope |
| IDE coverage | Every vendor adapter | 1–2 surfaces |
| Memory shared across IDEs | Yes | No |
| Long-horizon agent runtime | Backed by Aether | External harness |
| VPC / on-prem / air-gapped | Yes | Cloud-only typical |
Sprints of work, compressed to afternoons.
The slowest part of shipping software isn't the typing — it's the context-loading, the review back-and-forth, the cross-file refactors. Aether collapses each of those into the autonomous agent flow that already knows your repo.
Median across pilot teams. Reclaimed time goes to the parts engineers do best — design, debate, taste.
The same agent travels with your team across every editor, hosted agent and CI. Same memory, same review history, no migration.
Whole-repo context is the default, not a paste-and-pray. The model knows the cross-file invariants, not just the open buffer.
Aether is an autonomous engineer.
Not a chat assistant in your editor — a foundation model that reads the issue, plans the change, edits the repo, validates against tests and policy, and opens a pre-cleared pull request.
- 01
Reads the repository
Whole-repo embedding plus structural search. Knows your conventions, your idioms and your CI policy before it writes a line.
- 02
Plans the change
Posts a step-by-step plan with named files. You approve, modify or reject before any edits land. No black-box churn.
- 03
Runs whole-repo edits
Edits across files atomically. Reversible patch sets — any step can be undone without losing the rest.
- 04
Validates on every commit
Tests, security scans and perf profiles run as agents in the DAG. Failures route back to the editor before review starts.
- 05
Reviews against your policy
Review agents mirror your team's PR rules — style, CVE, ownership, accessibility, perf budget. The submitted PR is already pre-cleared.
- 06
Travels with you
The same agent runs across every editor and hosted-agent surface. Same memory, same review history, no re-onboarding.
A foundation model that ships, not just suggests — the substrate for general software intelligence.
Aether reasons in code, types, tests and intent — the substrate of software. We are moving toward general intelligence through the disciplines that have to face real systems. The model that lands your PR today is the model that designs your next service tomorrow.
The work behind this product.
We publish what we learn. The posts below are the substantive notes behind this product — methods, evaluations, case studies.
Drop it into the IDE your team already uses.
Send us your repo and your slowest CI step. We'll show you what Aether does with a real backlog.