An autonomous AI engineer that maps how your systems connect, groups alerts by cause, ranks incidents and drafts verified fixes for human review.
- 14:02:11Alert fired: checkout p99 at 1.2s against an 800ms SLO
- 14:02:40214 alerts from 6 sources grouped into INC-2481
- 14:04:05Root cause: payments-api connection pool exhausted after deploy #4812
- 14:06:52Fix drafted: PR #9132 raises pool size and adds an acquire timeout
- 14:09:30Canary at 64%, error rate back to 0.02%
- orders-db disk reaches 90% in 6 daysThis week
- Rotate TLS certificate on edge-gatewayIn 9 days
- Right-size 14 idle nodes in us-east-1$4.2k/mo
Running quietly inside the teams at
Forge works the way your best engineer does on their best day. It learns the system, separates signal from noise, decides what matters, and fixes it with proof.
- 01
Learns how everything connects
Forge reads traces, network flows and deploy config to keep a live map of every service, owner and dependency. Nobody has to draw a diagram.
Fig 1.1 / System mapA service map where the edges between services draw in one by one and payments-api is flagged in red. - 02
Turns alert storms into one incident
Every alert, log burst and failed trace is placed on the map, so 214 symptoms become a single incident with a probable cause and the evidence attached.
Fig 1.2 / Signal groupingSix signals from metrics, traces, logs and deploys grouped into incident INC-2481 with a probable cause. - 03
Puts the right problem first
Incidents and findings are ranked by real impact: users affected, revenue at risk and error budget burned. Your team works the queue from the top.
Fig 1.3 / Priority queueA queue split into Act now, This week and Backlog, each item scored by impact. - 04
Drafts the fix and proves it
Forge opens a pull request with tests, replayed traffic and a rollback plan. A person approves it, and the change ships behind a canary that watches the numbers.
Fig 1.4 / Verified fixA pull request diff with completed approval steps and a chart where p99 latency falls from 840ms to 210ms.
See Forge resolve a live incident.
At 14:02 checkout started timing out. By 14:09 Forge had grouped 214 alerts, traced them to a pool limit in one deploy and had a canary of the fix at 64 percent. We approved it from Slack.
Amara Lindqvist
VP of Engineering, Ledgerline
- 7 minfrom first alert to mitigation
- 214alerts grouped into one incident
52%
fewer repeat incidents
Measured over two quarters, comparing recurring failure patterns before and after Forge.
Standing watch, around the clock.
Seven always-on agents track the slow trends nobody is paid to look at. Pick one to see what it found this week.
Capacity watch
Every 15 minutes
Disks, memory and connection pools, 14 days out.
- Resources forecast
- 1,204
- Forecast horizon
- 14 days
- Open findings
- 6
Recommendation
orders-db reaches 90% disk in 6 days
Storage is growing 2.1% a day, mostly in orders_events. Expand the volume from 500 GB to 750 GB and enable autovacuum on that table. Forge has drafted both changes for review.
Fix drafted and waiting for review
Context that compounds, week after week.
Forge gets sharper the longer it runs. Everything it learns about your systems and your team is kept, cited and yours to review.
Every incident leaves a trail it can follow
Forge keeps a searchable memory of every incident, fix and review. When a pattern returns, it arrives with the last fix, the person who approved it and how long it took.
- Similar incidents matched in seconds
- Runbooks updated after every resolution
Learns how your team ships
From your past pull requests, reviews and deploy history, Forge picks up the rules nobody wrote down. Its fixes follow your flags, your deploy windows and your reviewers.
- Conventions shown with the evidence behind them
- Edit or switch off any rule it learned
Knows who owns what, and what changed
Every service carries its owners, on-call rotation, objectives, dependencies and recent changes. The right person is paged first, with the context already open.
- Owners pulled from your code and on-call tools
- Recent changes linked to every incident
Ask production anything.
Plain questions get answers with sources. Plain commands get work done, right where your team already talks.
Ask
Why is checkout slow? What changed since Tuesday? Forge answers with the numbers, the traces and the deploy that caused it.
Command
Forge joins every incident channel. Ask it what changed, tell it to draft a fix, and approve the canary without leaving the thread.
Trusted by the people who carry the pager.
We used to spend the first half hour of every incident working out which team to wake up. Now the right people get one page, and the answer is already attached to it.
Give production a steady hand.
See Forge map your services, group your alerts and draft its first verified fix, on your own stack, in a 30 minute walkthrough.
Notes from the on-call trenches.
Research, engineering deep dives and what we learn from every incident Forge helps resolve.