Triage overnight CI failures
Classify flaky vs real breaks, open a draft PR or issue with logs and suspected root cause, and rank by blast radius before standup.
GitHub · CI · Sentry · Slack
Agent template · created in seconds
Your senior developer agent.
Created in seconds.
Code review, debugging, architecture, deployment: move your roadmap forward without waiting months for a senior hire. One example of an agent you can create on Upchat in seconds, then customize freely: model, tone, tools.
Dev Agent · running
SD
Lead Developer
running 3 technical workstreams in parallel
9:04 · Tuesday
YouSprint goal: ship faster without breaking prod.
Dev AgentGot it. I read
→ Quality: lint guardrails + targeted tests on critical paths
→ Speed: CI simplification and build cache tuning
→ Reliability: error instrumentation + incident runbook
architecture.md, the latest 30 PRs, and recent incidents. 3-part plan:→ Quality: lint guardrails + targeted tests on critical paths
→ Speed: CI simplification and build cache tuning
→ Reliability: error instrumentation + incident runbook
Dev AgentLaunching the priority fixes now, first impact report in 4 hours.
While your competitors are still hiring a senior engineer, you created yours this morning, and it’s already shipping.
The problem
Technical debt grows faster than your execution capacity.
You have features to ship, bugs to fix, incidents to prevent. But between product priorities, debt, quality, and hiring, velocity drops and pressure rises.
01 · HIRING
Finding a true senior profile takes time.
Sourcing, technical interviews, references, negotiation. 2 to 4 months before real impact.
02 · PRIORITIZATION
Urgencies constantly break planned delivery.
A prod bug, regression, or security issue can derail the whole sprint.
03 · QUALITY
Code quality erodes when speed pressure rises.
Fewer reviews, fewer tests, more shortcuts. Debt compounds week after week.
04 · VISIBILITY
You lack clear visibility into real blockers.
Signals are spread across Git, CI, monitoring, and tickets. Decisions get slower.
Meanwhile, the backlog keeps growing.
The solution
A senior AI agent for your stack. It understands, proposes, executes.
Upchat is an on-duty senior developer from day one.
It learns your architecture, conventions, and roadmap. Then it reviews, fixes, documents, and ships continuously. No endless onboarding. No single-point bottlenecks.
- 01 Review and improve your PRs
- 02 Diagnose and fix bugs
- 03 Optimize performance and reliability
- 04 Document and automate what slows your team down
No friction. No latency. No runaway technical debt.
upchat ~ senior-dev
▸read codebase_context.md
✓ Stack, conventions, recent incidents, and backlog ingested
▸propose plan --sprint=14d
→ priorities: stabilize checkout · lower API p95 · harden CI
▸execute tasks --with-tests=true
⚡ 9 PRs reviewed · 4 bugs fixed · 3 perf optimizations deployed
▸monitor
Why it’s different
It’s not a coding tool. It’s a technical operator.
Copilot suggests lines. A linter flags issues. Upchat Dev drives technical execution end-to-end with your full context.
an autocomplete
a chatbot
a one-off script
→ an autonomous senior operator
5min
Ready in minutes
Connect your sources, define guardrails, and it starts immediately.
24/7
Always available
Reviews, incidents, and hotfixes at any hour.
+∞
Learns your codebase
Every PR, incident, and feedback loop deepens its understanding.
0s
Executes without inertia
Fewer handoffs, less latency between decisions and delivery.
v∞
Stays current
Continuous watch on best practices, versions, and architecture patterns.
You move from “next sprint maybe” to “already fixed”.
How it works
Three steps. Zero friction.
You stay in control of priorities, risk, and trade-offs. The agent proposes, you approve, it executes with full traceability.
01
~10 min
Connect your technical context
Repo, conventions, backlog, incidents, and security constraints. Everything needed to make good decisions.
02
~1h
The agent proposes an execution plan
Priorities, quick wins, critical debt, and sequencing with estimated impact.
03
ongoing
It reviews, fixes, and optimizes
PR reviews, targeted fixes, CI/perf optimization, documentation, and monitoring.
What the agent can do
Everything a senior engineer would do · continuously.
Code review at scale
Readability, complexity, security, debt, performance. Actionable feedback on every PR.
Data-driven debugging
Logs, traces, metrics, reproducibility. Finds root causes before patching.
Performance optimization
Response times, expensive queries, rendering, bundles, CPU/memory usage.
CI/CD hardening
Reliable pipelines, targeted tests, quality gates, and pre-production guardrails.
Incremental refactoring
Step-by-step migration paths, no big bang rewrites, steady debt reduction.
Team-useful documentation
Incident runbooks, ADRs, coding conventions, and release checklists.
Missions & first week
What your Dev agent actually ships
Not generic “code help.” Concrete engineering missions tied to your repo, backlog, and release cadence - with you on the merge button.
Starter missions
Draft the smallest safe fix
For a labeled bug, reproduce from the issue, propose a minimal patch, add a regression test sketch, and wait for your review.
GitHub · Linear · your monorepo
Dependency & CVE sweep
Scan lockfiles, flag high-severity advisories that touch production paths, and prepare upgrade PRs one package family at a time.
GitHub · Dependabot · Sentry
Incident runbook companion
During a SEV, pull recent deploys, correlated errors, and owners; draft a timeline and next checks while humans decide.
Sentry · Datadog · Pager · GitHub
Your first week
Day 1
Connect repo & conventions
Link GitHub, paste coding standards, and define what needs human approval (prod, auth, migrations).
Day 2-3
Shadow a real sprint ticket
Assign one well-scoped bug. Compare the agent’s plan to how you would dive in - tune tone and rigor.
Day 4-5
Overnight CI + morning digest
Let it watch the main branch pipeline and post a short I standup-ready summary.
Ongoing
Expand with guardrails
Add package upgrade missions and incident helpers only after merge rituals feel safe.
Early access - human approval stays on high-impact actions (merge, deploy, secrets).
A team, not an individual
Your dev agent collaborates with other agents.
When a bug impacts UX, the Product agent reprioritizes. When an incident appears, the Quality agent reproduces it. When risk rises, the Security agent audits. You operate a full technical team.
SD
Lead agent
Senior Developer Agent
Drives technical quality, execution speed, and overall reliability. Coordinates specialist agents as needed.
PO
Contributor
Product Owner
Aligns priorities, clarifies scope, and balances business impact with engineering effort.
← called by Dev
QA
Contributor
Quality
Reproduces bugs, enforces non-regression checks, and structures test plans.
← called by Dev
SE
Contributor
Security
Identifies vulnerabilities and validates remediations before release.
← called by Dev
Freelance vs. Upchat
Why wait for a rare profile when you can activate a senior system?
Freelance senior old school
- ✕ Long hiring cycle, 4 to 12 weeks
- ✕ High day rate, $700 to $1,400/day
- ✕ Partial availability, limited time slots
- ✕ Fragile context, turnover or short missions
- ✕ Little continuity from incidents to roadmap
- ✕ Leaves with part of the knowledge
Upchat Dev new
- ✓ Instant activation, ready in 5 minutes
- ✓ Flexible usage, pay for what you use
- ✓ 24/7 coverage, incidents, reviews, releases
- ✓ Persistent memory, context is retained
- ✓ Continuous execution, improve every week
- ✓ Knowledge stays in your company long-term
Stop looking for a hero. Start operating a system.
Keep learning
Guides for this role
What is MCP for AI agents?
Model Context Protocol explained: how MCP connects AI agents to tools and data, when it beats ad hoc APIs, and how teams scope safe agent access.
Read the guideWhat is the A2A protocol? Agent-to-agent communication explained
Learn how Google's Agent2Agent (A2A) protocol lets AI agents discover each other, delegate tasks, and collaborate across platforms. Complete guide for 2026.
Read the guideWhat is AI agent observability?
AI agent observability explained: traces, tool-call logs, and evals that show what cloud agents actually did, so teams catch failures before production.
Read the guideYour stack
Connect it to all your tools. Even the ones that don't exist anywhere else yet.
Ads, CRM, support, drive, internal tools. Upchat plugs into 3,000+ tools out of the box, and if the one you need isn't there yet, it finds the documentation, writes its own connector, and connects itself with the API key or credentials you give it.
- You name the tool, even one built in house.
- It reads the documentation and builds its own connector.
- You give it an API key or your credentials, it connects itself.
Connect to our internal tool, Ledgerly.
Upchat
No connector exists yet. I'm reading its API documentation and building one.
No connector exists yet. I'm reading its API documentation and building one.
Upchat
Ready. Give me an API key to finish the connection.
Ready. Give me an API key to finish the connection.
3,000+Ready integrations
∞Reachable tools
3,000+ integrations
This is just a preview, Upchat connects to 3,000+ tools
Early access
Activate your senior dev agent before your competitors.
We’re gradually opening access to product and engineering teams that want to accelerate without sacrificing quality. If you want to ship faster and cleaner, now is the time. Get early access and create this agent in seconds, zero setup.
No commitment, priority access at launch.