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Autonomous SDLC for production applications
Works with the tools you already run
Single-session agents break on real products that run for weeks across machines, accounts, reviewers and releases. Here are ten ways they break, and how agnte fixes each one. Click a card to flip it.
Long sessions compact and drop earlier instructions and decisions.
Rework and repeated explanationsProject memory that never compacts, shared by every agent and machine.
Project Memory →The agent no longer knows why old code exists.
Production bugsEvery deploy is tested and every fix is re-tested on the next version.
Automated QA →The board says 100% done. The running app says otherwise.
Failed demos and launchesRecorded user journeys replay on every release and gate the milestone.
Journey Replay →You babysit a terminal while paid capacity sits idle.
Nights and weekends wastedYour PC and Linux VMs run as one fleet, placed by real headroom.
Multi-Machine Fleet →One account hits its weekly limit and everything waits.
Stalled daysA pool of accounts; tasks continue on the next one with headroom.
Subscription Pool →No idea what was spent or what it will cost to finish.
Surprise bills, no forecastPer-request ledger, budgets, three warnings, a hard stop and a forecast.
Token Economy →Security, UX and architecture calls made outside any role.
Wrong calls on critical areas36 roles; every issue becomes a finding for the role that owns it.
agnte Crew →Every change waits in your queue, one pull request at a time.
You become the bottleneckOnly the owners of changed files review; an integrator merges in order.
Code Review →Stuck work and a hung app wait until morning.
Lost nightsA watchdog nudges and escalates stuck work; a guardian restarts the app.
Self-Healing Operations →No single place to see or set what agents may do.
Blind spots across machinesOne sandbox and command policy for every machine, with an audit of every action.
Sandbox and Policy →Every project runs through the same four stations, each owned by agent roles and gated before the next.
Plain-English idea through BA, PO, PM and architect roles to a plan you approve.
36 roles on a task graph across your fleet, one pull request per task.
Deploy to a dev server and test the served version: API contract, logs, accessibility, security.
Milestones ship with a tag, a GitHub release and a changelog once the journey gate passes.
agnte is not a code generator. Its agents run the full software development life cycle for production-scale applications, and you step in only at the points that need a person.
Analyst and product owner turn your idea into stories, scope and acceptance criteria.
You approve the planArchitect designs modules and interfaces and records every decision as an ADR.
AutonomousOne pull request per task across your fleet, reviewed by the owners of changed files.
AutonomousAPI contract, logs, accessibility, security and journey replay on the served app.
You accept the milestoneBlue/green deploy, journey gate, tagged release and changelog.
AutonomousWatchdog, incidents traced to root cause, self-healing and living docs.
Only what needs a personAs agent work spreads across machines and accounts, agnte gives you one place to control who can run agents, what they can access, where they execute, what they spend, and what they change.
From the live agnte database, 2026-09-28 to 2026-10-12.
Work starts as a task. The agent team picks the model the work deserves, draws on the subscription with quota to finish it, sets a token cap and reasoning effort, then places it on the machine with the headroom to run it. Every step inside a sandbox. Every request on the ledger.
ledgerillustrativeBudgets per project, account or provider with three warnings and a hard stop. A forecast of cost and ETA to finish. A ledger of every request.
Source: live agnte database and golden scenario G17, 2026-10-12. Explore the token economy
Every capability below is live today, with the proof from production next to it.
agnte runs coding agents such as Claude Code as its workers. It is the layer above them, not a replacement.
Edge in one product: your hardware, your subscriptions, a whole engineering team, a closed test loop and the money view. Based on public information as of October 2026; products change quickly, so check each vendor's site for current details.
agnte is the control layer for your AI workforce: an agent orchestration platform that runs fleets of AI coding agents on your own machines and subscriptions to plan, build, review, test, release and operate production software.
Yes. agnte agents work through requirements, design, build, test, release and operations for production-scale applications. You approve the plan, accept milestones on the served version and decide what needs a person, such as access, credentials and paid resources.
No. agnte runs coding agents such as Claude Code as its workers and adds the memory, fleet, budgets, roles and test loop around them.
On your Windows PC and any Linux VM you can reach over SSH. Every agent runs in a sandbox, and your SSH key never leaves your PC.
Budgets per project, account or provider with three warnings and a hard stop, a cost and ETA forecast to finish, and a ledger of every model request.
Decisions, lessons, knowledge and handoffs are stored in a project database that never compacts and is shared by every machine.
agnte ran continuously for 14 days in production, completing 4,384 tasks across 3 machines and logging 57,756 model requests.
Bring an idea, your machines and the agents you already pay for. agnte runs it from intent to release.
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